diff --git a/.gitignore b/.gitignore index bbccf5c..2869bfd 100644 --- a/.gitignore +++ b/.gitignore @@ -117,6 +117,16 @@ ENV/ # Temporary files *.tmp +######################################### +### Paths/dirs specific to Leopard-EM ### +######################################### + +# Downloaded data for example notebooks +docs/examples/constrained_search_tutorial/configs +docs/examples/constrained_search_tutorial/maps +docs/examples/constrained_search_tutorial/mgraphs +docs/examples/constrained_search_tutorial/models +docs/examples/constrained_search_tutorial/results small_image_test_data/ medium_image_test_data/ diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index d7c9dfc..895d972 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -20,9 +20,10 @@ repos: rev: v1.24.6 hooks: - id: typos + exclude: ".*\\.ipynb$" # exclude Jupyter notebooks because of metadata args: # omitting --write-changes - "--force-exclude" - # - "--config=_typos.toml" + - "--config=_typos.toml" - repo: https://github.com/astral-sh/ruff-pre-commit rev: v0.7.2 diff --git a/_typos.toml b/_typos.toml index 2cfbf42..bb62527 100644 --- a/_typos.toml +++ b/_typos.toml @@ -1,2 +1,2 @@ [default.extend-words] -BA = "BA" \ No newline at end of file +BA = "BA" diff --git a/docs/examples/constrained_search_tutorial/constrained_tutorial.ipynb b/docs/examples/constrained_search_tutorial/constrained_tutorial.ipynb new file mode 100644 index 0000000..3d67e13 --- /dev/null +++ b/docs/examples/constrained_search_tutorial/constrained_tutorial.ipynb @@ -0,0 +1,1713 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "ae37b7b9", + "metadata": {}, + "source": [ + "# Constrained Search tutorial\n", + "\n", + "This is a complete tutorial going through the process of locating the 40S small ribosomal subunit using the constrained orientation search from identified 60S large ribosomal subunits.\n", + "We step through the process generating the reference template maps, running the template matching program, optimizing the template, and finally running the constrained orientation search.\n", + "Input data for this tutorial as well as the intermediary result files can be found at [this Zenodo dataset 10.5281/zenodo.15368246](https://zenodo.org/records/15368246).\n", + "We will be using the micrograph with filename `xenon_131_000_0.0_DWS.mrc`, but this process can be done for a whole cohort of images.\n", + "\n", + "*Note: Some of the file links in the text are relative paths and may not work for the online documentation. Downloading the notebook and required data locally will fix this, or just inspect the files directly on Zenodo.*\n", + "\n", + "### Tutorial Requirements\n", + "\n", + "In terms of Python libraries, the following are required\n", + "\n", + "* Leopard-EM v1.0 or above\n", + "* matplotlib\n", + "* TODO\n", + "\n", + "You will also need a CUDA capable GPU for running some of the analyses.\n", + "However, you can alternately download the intermediary results from Zenodo instead of running the GPU programs." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "47483415", + "metadata": {}, + "outputs": [], + "source": [ + "# Run this code cell to install required packages\n", + "# !pip install leopard-em matplotlib\n", + "# TODO: test this and verify which packages are needed" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "444cf360", + "metadata": {}, + "outputs": [], + "source": [ + "import warnings\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import mmdf\n", + "import mrcfile\n", + "import numpy as np\n", + "import pandas as pd\n", + "import roma\n", + "import torch\n", + "from IPython.display import Markdown, display\n", + "from scipy.spatial.transform import Rotation\n", + "from ttsim3d.models import Simulator, SimulatorConfig\n", + "\n", + "from leopard_em.analysis.zscore_metric import gaussian_noise_zscore_cutoff\n", + "from leopard_em.pydantic_models.managers import (\n", + " ConstrainedSearchManager,\n", + " MatchTemplateManager,\n", + " OptimizeTemplateManager,\n", + " RefineTemplateManager,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "f41b2192", + "metadata": {}, + "source": [ + "## 1. Download and pre-process required data\n", + "\n", + "The following cells will go through, download and pre-process all the necessary data to process in this tutorial.\n", + "This will also create a directory structure to save the micrographs, models, maps, and configuration files.\n", + "\n", + "We also include a few visualizations to see what data we are working with." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "662ed73b", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "import requests\n", + "\n", + "\n", + "def download_zenodo_file(url: str, out_dir: str) -> str:\n", + " \"\"\"Helper function to download a file hosted on Zenodo from a URL to given dir.\"\"\"\n", + " output_filename = url.split(\"/\")[-1]\n", + "\n", + " response = requests.get(url, stream=True)\n", + " response.raise_for_status() # Check for request errors\n", + "\n", + " with open(f\"{out_dir}/{output_filename}\", \"wb\") as f:\n", + " for chunk in response.iter_content(chunk_size=8192):\n", + " f.write(chunk)\n", + "\n", + " return output_filename" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8c70b56a", + "metadata": {}, + "outputs": [], + "source": [ + "# fmt: off\n", + "file_downloads = [\n", + " (\"mgraphs\", \"https://zenodo.org/records/15368246/files/xenon_131_000_0.0_DWS.mrc\"),\n", + " (\"models\", \"https://zenodo.org/records/15368246/files/60S_aligned.pdb\"),\n", + " (\"models\", \"https://zenodo.org/records/15368246/files/6q8y_aligned.pdb\"),\n", + " (\"models\", \"https://zenodo.org/records/15368246/files/6q8y_SSU_no_head_aligned.pdb\"),\n", + " (\"models\", \"https://zenodo.org/records/15368246/files/3j77_SSU_aligned_zero.pdb\"),\n", + " (\"models\", \"https://zenodo.org/records/15368246/files/3j78_SSU_aligned_zero.pdb\"),\n", + " (\"configs\", \"https://zenodo.org/records/15368246/files/match_template_config_crop.yaml\"),\n", + " (\"configs\", \"https://zenodo.org/records/15368246/files/optimize_template_config.yaml\"),\n", + " (\"configs\", \"https://zenodo.org/records/15368246/files/match_template_config_60S.yaml\"),\n", + " (\"configs\", \"https://zenodo.org/records/15368246/files/match_template_config_40S.yaml\"),\n", + " (\"configs\", \"https://zenodo.org/records/15368246/files/refine_template_config_60S.yaml\"),\n", + " (\"configs\", \"https://zenodo.org/records/15368246/files/constrained_config_step1.yaml\"),\n", + " (\"configs\", \"https://zenodo.org/records/15368246/files/constrained_config_step2.yaml\"),\n", + " (\"configs\", \"https://zenodo.org/records/15368246/files/constrained_config_step3.yaml\"),\n", + " (\"configs\", \"https://zenodo.org/records/15368246/files/constrained_config_step4.yaml\"),\n", + "]\n", + "# fmt: on\n", + "\n", + "# Loop through files list and download each\n", + "for out_dir, file_url in file_downloads:\n", + " # Create the directory if it doesn't exist\n", + " os.makedirs(out_dir, exist_ok=True)\n", + "\n", + " # Skip if the file already exists\n", + " fname = file_url.split(\"/\")[-1]\n", + " if os.path.exists(f\"{out_dir}/{fname}\"):\n", + " print(f\"Skipped {fname}, it already exists in {out_dir}.\")\n", + " continue\n", + "\n", + " # Download the file\n", + " filename = download_zenodo_file(file_url, out_dir)\n", + " print(f\"Downloaded {filename} to {out_dir}\")" + ] + }, + { + "cell_type": "markdown", + "id": "c0d8615d", + "metadata": {}, + "source": [ + "### Plot of the micrograph\n", + "\n", + "Here, we use the `mrcfile` package to read a .mrc file into a numpy array.\n", + "Then, we visualize the micrograph with `matplotlib`." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "535b70a9", + "metadata": {}, + "outputs": [], + "source": [ + "# Read image into numpy array called 'data'\n", + "data = mrcfile.open(\"mgraphs/xenon_131_000_0.0_DWS.mrc\", mode=\"r\").data.copy()\n", + "\n", + "# Plot the greyscale image\n", + "plt.figure(figsize=(10, 10))\n", + "plt.imshow(data, cmap=\"gray\")\n", + "plt.axis(\"off\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "c6f477de", + "metadata": {}, + "source": [ + "### Pre-process PDB files\n", + "\n", + "We've downloaded a PDB model of the 80S ribosome in the non-rotated state `6q8y_aligned.pdb`.\n", + "In addition to this, we have two additional PDB files which correspond to the 40S (`6q8y_SSU_no_head_aligned.pdb`) and 60S (`60S_aligned.pdb`) ribosomal subunits; these were generated externally using the ChimeraX program from the full non-rotated ribosome model.\n", + "For the 40S subunit, the head domain has also been removed to leave only the body.\n", + "Both the 40S and 60S models have been pre-aligned with respect to the 80S model suing the matchmaker function in ChimeraX so the relative positions and orientations of the models match with each other.\n", + "\n", + "#### Center PDB models\n", + "\n", + "The 80S PDB file is shifted such that the average atomic position is located at $(0, 0, 0)$.\n", + "This same shift is applied to the 40S and 60S models so they remain aligned throughout, and all transformed PDB files are written back to disk with an `_aligned_zero` suffix." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "16f444f0", + "metadata": {}, + "outputs": [], + "source": [ + "def center_pdb_files(pdb_ref: str, pdb_A: str, pdb_B: str) -> None:\n", + " \"\"\"Transform reference PDB file to average atomic position of (0, 0, 0).\n", + "\n", + " The same transformation is applied to the other PDB files, A and B, and all files\n", + " are saved with a new '_aligned_zero' suffix.\n", + "\n", + " Parameters\n", + " ----------\n", + " pdb_ref : str\n", + " Path to reference PDB file to center.\n", + " pdb_A : str\n", + " Additional PDB file to also transform based on reference centering.\n", + " pdb_B : str\n", + " Additional PDB file to also transform based on reference centering.\n", + " \"\"\"\n", + " # Load PDB models into DataFrame objects\n", + " df_ref = mmdf.read(pdb_ref)\n", + " df_A = mmdf.read(pdb_A)\n", + " df_B = mmdf.read(pdb_B)\n", + "\n", + " # Extract atom coordinates from reference PDB. Shape of (n_atoms, 3)\n", + " coords = df_ref[[\"x\", \"y\", \"z\"]].values\n", + " center = np.mean(coords, axis=0)\n", + "\n", + " print(f\"Center of reference PDB: {center}\")\n", + "\n", + " # Now apply the centering transformation to PDB files\n", + " shift_vector = -center\n", + " df_ref[[\"x\", \"y\", \"z\"]] += shift_vector\n", + " df_A[[\"x\", \"y\", \"z\"]] += shift_vector\n", + " df_B[[\"x\", \"y\", \"z\"]] += shift_vector\n", + "\n", + " # Save the transformed PDB files with a new name\n", + " mmdf.write(pdb_ref.replace(\".pdb\", \"_aligned_zero.pdb\"), df_ref)\n", + " mmdf.write(pdb_A.replace(\".pdb\", \"_aligned_zero.pdb\"), df_A)\n", + " mmdf.write(pdb_B.replace(\".pdb\", \"_aligned_zero.pdb\"), df_B)\n", + "\n", + "\n", + "# Center the PDB files\n", + "center_pdb_files(\n", + " pdb_ref=\"models/60S_aligned.pdb\",\n", + " pdb_A=\"models/6q8y_aligned.pdb\",\n", + " pdb_B=\"models/6q8y_SSU_no_head_aligned.pdb\",\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "ca751fc2", + "metadata": {}, + "source": [ + "## 2. Initial match template with 60S model\n", + "\n", + "Since we want to constrain the search space for a 40S small subunit (SSU) using the 60S large subunit (LSU), we first need to run full-orientation match template on the LSU model.\n", + "We will go through the steps of configuring and running the match template program in Python.\n", + "Further details about the match template program in Leopard-EM are located [here on the documentation](TODO-link)." + ] + }, + { + "cell_type": "markdown", + "id": "5023f391", + "metadata": {}, + "source": [ + "### Generating 3D maps from models\n", + "\n", + "The template matching program requires simulated 3D maps to generate projections form, and below we use the [ttsim3d](https://github.com/teamtomo/ttsim3d) Python package to generate these maps.\n", + "For a different dataset/structure, these simulation configurations need to be changed." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4054cc79", + "metadata": {}, + "outputs": [], + "source": [ + "# Making a directory to save 3D map files\n", + "os.makedirs(\"maps\", exist_ok=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "79cace0b", + "metadata": {}, + "outputs": [], + "source": [ + "# Instantiate the simulation configuration object\n", + "sim_conf = SimulatorConfig(\n", + " voltage=300.0, # in keV\n", + " apply_dose_weighting=True,\n", + " dose_start=0.0, # in e-/A^2\n", + " dose_end=50.0, # in e-/A^2\n", + " dose_filter_modify_signal=\"rel_diff\",\n", + " upsampling=-1, # auto\n", + " mtf_reference=\"falcon4EC_300kv\",\n", + ")\n", + "\n", + "# Instantiate the simulator\n", + "sim = Simulator(\n", + " pdb_filepath=\"models/60S_aligned_aligned_zero.pdb\",\n", + " pixel_spacing=0.95, # Angstroms\n", + " volume_shape=(512, 512, 512),\n", + " center_atoms=False,\n", + " remove_hydrogens=True,\n", + " b_factor_scaling=0.5, # Multiply model b-factors by 1/2\n", + " additional_b_factor=0,\n", + " simulator_config=sim_conf,\n", + ")\n", + "\n", + "# Run the simulation and write the output to a file\n", + "# We will read this file into memory later\n", + "mrc_filepath = \"maps/60S_map_px0.95_bscale0.5.mrc\"\n", + "sim.export_to_mrc(mrc_filepath)" + ] + }, + { + "cell_type": "markdown", + "id": "6dc7b6c4", + "metadata": {}, + "source": [ + "### Plotting a z-slice of the simulated map\n", + "\n", + "Just for visualization purposes, we plot the central z-slice of the simulated 60S map." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6aae8887", + "metadata": {}, + "outputs": [], + "source": [ + "volume = mrcfile.open(mrc_filepath, mode=\"r\").data.copy()\n", + "\n", + "plt.imshow(volume[256, :, :], cmap=\"gray\")\n", + "plt.axis(\"off\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "2dba30c6", + "metadata": {}, + "source": [ + "### Initial test template matching run\n", + "\n", + "Below, we run the match template program on a small image patch which will give us a few peaks and optimize our template simulation before proceeding.\n", + "First, we crop our a central 1k by 1k patch from our 4k by 4k image and save it as a new mrc file." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d2bd4acd", + "metadata": {}, + "outputs": [], + "source": [ + "data = mrcfile.open(\"mgraphs/xenon_131_000_0.0_DWS.mrc\", mode=\"r\").data.copy()\n", + "\n", + "# Crop out a central (1024, 1024) region of the image\n", + "data_cropped = data[\n", + " data.shape[0] // 2 - 512 : data.shape[0] // 2 + 512,\n", + " data.shape[1] // 2 - 512 : data.shape[1] // 2 + 512,\n", + "]\n", + "\n", + "# Save the cropped image to a new MRC file\n", + "# NOTE: This is not updating any of the header information\n", + "output_filename = \"mgraphs/xenon_131_000_0.0_DWS_cropped_4.mrc\"\n", + "with mrcfile.new(output_filename, overwrite=True) as mrc:\n", + " mrc.set_data(data_cropped)" + ] + }, + { + "cell_type": "markdown", + "id": "5f3119dd", + "metadata": {}, + "source": [ + "Below, we setup and run a full-orientation match template run based on the downloaded [configuration file](./config/match_template_config_crop.yaml).\n", + "The programs section of the Leopard-EM documentation contains detailed explanations for each of these fields, so we will continue by running match template.\n", + "\n", + "**Note: This config assumes you have 4 GPUs on your system! You may need to change the `gpu_ids` field depending on your system!**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d52ede51", + "metadata": {}, + "outputs": [], + "source": [ + "# Make directory to save program results\n", + "os.makedirs(\"results\", exist_ok=True)" + ] + }, + { + "cell_type": "markdown", + "id": "d36a97f9", + "metadata": {}, + "source": [ + "Now we run the match template program (this may take around 1 hour depending on GPU hardware).\n", + "Alternately, you can skip the next cell and uncomment the code which downloads the already processed results from Zenodo." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d91d9370", + "metadata": {}, + "outputs": [], + "source": [ + "YAML_CONFIG_PATH = \"configs/match_template_config_crop.yaml\"\n", + "ORIENTATION_BATCH_SIZE = 16\n", + "\n", + "\n", + "def run_match_template_cropped_image():\n", + " \"\"\"Main function to run the match template program on the cropped image.\"\"\"\n", + " mt_manager = MatchTemplateManager.from_yaml(YAML_CONFIG_PATH)\n", + " mt_manager.run_match_template(ORIENTATION_BATCH_SIZE)\n", + " df = mt_manager.results_to_dataframe(locate_peaks_kwargs={\"false_positives\": 1.0})\n", + " df.to_csv(\"results/results_match_template_crop.csv\")\n", + "\n", + "\n", + "# NOTE: invoking from `if __name__ == \"__main__\"` is necessary\n", + "# for proper multiprocessing/GPU-distribution behavior\n", + "if __name__ == \"__main__\":\n", + " run_match_template_cropped_image()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2e8c7531", + "metadata": {}, + "outputs": [], + "source": [ + "# # Uncomment this to download the cropped match template result files\n", + "# # fmt: off\n", + "# file_downloads = [\n", + "# (\"results\", \"https://zenodo.org/records/15368246/files/results_match_template_60S.csv\"),\n", + "# (\"results\", \"https://zenodo.org/records/15368246/files/output_correlation_average.mrc\"),\n", + "# (\"results\", \"https://zenodo.org/records/15368246/files/output_correlation_variance.mrc\"),\n", + "# (\"results\", \"https://zenodo.org/records/15368246/files/output_mip.mrc\"),\n", + "# (\"results\", \"https://zenodo.org/records/15368246/files/output_orientation_phi.mrc\"),\n", + "# (\"results\", \"https://zenodo.org/records/15368246/files/output_orientation_psi.mrc\"),\n", + "# (\"results\", \"https://zenodo.org/records/15368246/files/output_orientation_theta.mrc\"),\n", + "# (\"results\", \"https://zenodo.org/records/15368246/files/output_relative_defocus.mrc\"),\n", + "# (\"results\", \"https://zenodo.org/records/15368246/files/output_scaled_mip.mrc\"),\n", + "# ]\n", + "# # fmt: on\n", + "\n", + "# # Loop through files list and download each\n", + "# for out_dir, file_url in file_downloads:\n", + "# # Create the directory if it doesn't exist\n", + "# os.makedirs(out_dir, exist_ok=True)\n", + "\n", + "# # Skip if the file already exists\n", + "# fname = file_url.split(\"/\")[-1]\n", + "# if os.path.exists(f\"{out_dir}/{fname}\"):\n", + "# print(f\"Skipped {fname}, it already exists in {out_dir}.\")\n", + "# continue\n", + "\n", + "# # Download the file\n", + "# filename = download_zenodo_file(file_url, out_dir)\n", + "# print(f\"Downloaded {filename} to {out_dir}\")" + ] + }, + { + "cell_type": "markdown", + "id": "2b80e868", + "metadata": {}, + "source": [ + "## 3. Template Optimization\n", + "\n", + "As detailed elsewhere, 2DTM is extremely sensitive to pixel size when simulating a reference map.\n", + "Deposited pixel sizes can be a few percent incorrect, either because the pdb model was built into a map with the wrong pixel size and/or the microscope magnification was calibrated incorrectly.\n", + "\n", + "Before proceeding and to maximize our sensitivity, we will run the optimize template program on the cropped image match template run." + ] + }, + { + "cell_type": "markdown", + "id": "b1a3cedf", + "metadata": {}, + "source": [ + "### Running the optimize template program\n", + "\n", + "Like the match template program, the optimize template program is configured using a YAML file.\n", + "We've already downloaded the necessary [yaml file for optimize template](configs/optimize_template_config.yaml); details of the optimize template program and its configuration are detailed elsewhere in the documentation.\n", + "\n", + "Alternately, skip this and download the results files directly from Zenodo." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b6125d35", + "metadata": {}, + "outputs": [], + "source": [ + "OPTIMIZE_YAML_PATH = \"configs/optimize_template_config.yaml\"\n", + "\n", + "\n", + "def run_optimize_template():\n", + " \"\"\"Main function to run the optimize template program.\"\"\"\n", + " ot_manager = OptimizeTemplateManager.from_yaml(OPTIMIZE_YAML_PATH)\n", + " ot_manager.run_optimize_template(\n", + " output_text_path=\"results/optimize_template_results.txt\"\n", + " )\n", + "\n", + "\n", + "# NOTE: invoking from `if __name__ == \"__main__\"` is necessary\n", + "# for proper multiprocessing/GPU-distribution behavior\n", + "if __name__ == \"__main__\":\n", + " run_optimize_template()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8b4e2cb7", + "metadata": {}, + "outputs": [], + "source": [ + "# # Uncomment this to download the optimize template result files\n", + "# # fmt: off\n", + "# file_downloads = [\n", + "# (\"results\", \"https://zenodo.org/records/15368246/files/optimize_template_results.txt\"),\n", + "# (\"results\", \"https://zenodo.org/records/15368246/files/optimize_template_results_all.csv\"),\n", + "# ]\n", + "\n", + "# # Loop through files list and download each\n", + "# for out_dir, file_url in file_downloads:\n", + "# # Create the directory if it doesn't exist\n", + "# os.makedirs(out_dir, exist_ok=True)\n", + "\n", + "# # Skip if the file already exists\n", + "# fname = file_url.split(\"/\")[-1]\n", + "# if os.path.exists(f\"{out_dir}/{fname}\"):\n", + "# print(f\"Skipped {fname}, it already exists in {out_dir}.\")\n", + "# continue\n", + "\n", + "# # Download the file\n", + "# filename = download_zenodo_file(file_url, out_dir)\n", + "# print(f\"Downloaded {filename} to {out_dir}\")" + ] + }, + { + "cell_type": "markdown", + "id": "0f53a533", + "metadata": {}, + "source": [ + "By Inspecting the optimize template result file, we see this gave us an optimized pixel size of $0.936$ Angstroms (actual results possibly $\\pm 0.002$ off).\n", + "We will proceed using this pixel size rather than the original $0.95$ Angstroms value." + ] + }, + { + "cell_type": "markdown", + "id": "3b81779d", + "metadata": {}, + "source": [ + "### Other parameter considerations\n", + "\n", + "The other most obvious and important parameter to optimize is the contrast transfer function B-factor.\n", + "Since we don't need the most accurate map and highly optimized results for this tutorial, we will skipp this for now and proceed with the default B-factor of $60.0$." + ] + }, + { + "cell_type": "markdown", + "id": "196011c7", + "metadata": {}, + "source": [ + "## 4. Re-simulating maps of reference templates\n", + "\n", + "Now that we know the optimized pixel size of $0.936$ Angstroms, we will re-simulate the maps for both the 40S and 60S templates.\n", + "Note that the simulation conditions are the same, so we can re-use the simulation configuration object in both cases." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "90d77bfe", + "metadata": {}, + "outputs": [], + "source": [ + "sim_conf = SimulatorConfig(\n", + " voltage=300.0, # in keV\n", + " apply_dose_weighting=True,\n", + " dose_start=0.0, # in e-/A^2\n", + " dose_end=50.0, # in e-/A^2\n", + " dose_filter_modify_signal=\"rel_diff\",\n", + " upsampling=-1, # auto\n", + " mtf_reference=\"falcon4EC_300kv\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "96e2d201", + "metadata": {}, + "outputs": [], + "source": [ + "# Instantiate the simulator for the centered 60S model\n", + "sim_60S = Simulator(\n", + " pdb_filepath=\"models/60S_aligned_aligned_zero.pdb\",\n", + " pixel_spacing=0.936, # Angstroms\n", + " volume_shape=(512, 512, 512),\n", + " center_atoms=False,\n", + " remove_hydrogens=True,\n", + " b_factor_scaling=0.5,\n", + " additional_b_factor=0,\n", + " simulator_config=sim_conf,\n", + ")\n", + "\n", + "# Run the simulation and write the output to a file\n", + "mrc_filepath_60S = \"maps/60S_map_px0.936_bscale0.5.mrc\"\n", + "sim_60S.export_to_mrc(mrc_filepath_60S)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "42c7f874", + "metadata": {}, + "outputs": [], + "source": [ + "# Instantiate the simulator for the centered 40S model\n", + "sim_40S = Simulator(\n", + " pdb_filepath=\"models/6q8y_SSU_no_head_aligned_aligned_zero.pdb\",\n", + " pixel_spacing=0.936, # Angstroms\n", + " volume_shape=(512, 512, 512),\n", + " center_atoms=False,\n", + " remove_hydrogens=True,\n", + " b_factor_scaling=0.5,\n", + " additional_b_factor=0, # Add to all atoms\n", + " simulator_config=sim_conf,\n", + ")\n", + "\n", + "# Run the simulation and write the output to a file\n", + "mrc_filepath_40S = \"maps/SSU-body_map_px0.936_bscale0.5.mrc\"\n", + "sim_60S.export_to_mrc(mrc_filepath_40S)" + ] + }, + { + "cell_type": "markdown", + "id": "8bb808a1", + "metadata": {}, + "source": [ + "## 5. Full-image match template\n", + "\n", + "It's now time to run the match template program on the 60S ribosome map.\n", + "The YAML configuration file is similar to the one for the cropped image, but we've now updated the pixel size and referenced the full micrograph.\n", + "\n", + "This next cell is a computationally expensive step and takes ~2.75 hours (wall time) on a machine equipped with 4xRTX A6000 ada GPUs.\n", + "Again, already processed results can be downloaded directly from Zenodo." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4ff2b1f4", + "metadata": {}, + "outputs": [], + "source": [ + "YAML_CONFIG_PATH = \"configs/match_template_config_60S.yaml\"\n", + "ORIENTATION_BATCH_SIZE = 8\n", + "\n", + "\n", + "def run_match_template_60S():\n", + " \"\"\"Main function to run the match template program.\"\"\"\n", + " mt_manager = MatchTemplateManager.from_yaml(YAML_CONFIG_PATH)\n", + " mt_manager.run_match_template(ORIENTATION_BATCH_SIZE)\n", + " df = mt_manager.results_to_dataframe(locate_peaks_kwargs={\"false_positives\": 1.0})\n", + " df.to_csv(\"results/results_match_template_60S.csv\")\n", + "\n", + "\n", + "# NOTE: invoking from `if __name__ == \"__main__\"` is necessary\n", + "# for proper multiprocessing/GPU-distribution behavior\n", + "if __name__ == \"__main__\":\n", + " run_match_template_60S()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cbd2720d", + "metadata": {}, + "outputs": [], + "source": [ + "# Uncomment this to download the cropped match template result files\n", + "# fmt: off\n", + "file_downloads = [\n", + " (\"results\", \"https://zenodo.org/records/15368246/files/results_match_template_60S.csv\"),\n", + " (\"results\", \"https://zenodo.org/records/15368246/files/output_correlation_average.mrc\"),\n", + " (\"results\", \"https://zenodo.org/records/15368246/files/output_correlation_variance.mrc\"),\n", + " (\"results\", \"https://zenodo.org/records/15368246/files/output_mip.mrc\"),\n", + " (\"results\", \"https://zenodo.org/records/15368246/files/output_orientation_phi.mrc\"),\n", + " (\"results\", \"https://zenodo.org/records/15368246/files/output_orientation_psi.mrc\"),\n", + " (\"results\", \"https://zenodo.org/records/15368246/files/output_orientation_theta.mrc\"),\n", + " (\"results\", \"https://zenodo.org/records/15368246/files/output_relative_defocus.mrc\"),\n", + " (\"results\", \"https://zenodo.org/records/15368246/files/output_scaled_mip.mrc\"),\n", + "]\n", + "# fmt: on\n", + "\n", + "# Loop through files list and download each\n", + "for out_dir, file_url in file_downloads:\n", + " # Create the directory if it doesn't exist\n", + " os.makedirs(out_dir, exist_ok=True)\n", + "\n", + " # Skip if the file already exists\n", + " fname = file_url.split(\"/\")[-1]\n", + " if os.path.exists(f\"{out_dir}/{fname}\"):\n", + " print(f\"Skipped {fname}, it already exists in {out_dir}.\")\n", + " continue\n", + "\n", + " # Download the file\n", + " filename = download_zenodo_file(file_url, out_dir)\n", + " print(f\"Downloaded {filename} to {out_dir}\")" + ] + }, + { + "cell_type": "markdown", + "id": "9d593a8f", + "metadata": {}, + "source": [ + "### Looking at results from match template\n", + "\n", + "The template matching process has found 408 peaks above the cutoff threshold.\n", + "However, this micrograph contains the edge of the lamella in the top-right corner, and the dark patch artificially inflates the z-scores in that region (low search variance).\n", + "We make a scatter plot of the peak locations superimposed on the original micrograph; points are colored by variance over search space." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3ddc8ae3", + "metadata": {}, + "outputs": [], + "source": [ + "# Read image into numpy array called 'data'\n", + "data = mrcfile.open(\"mgraphs/xenon_131_000_0.0_DWS.mrc\", mode=\"r\").data.copy()\n", + "\n", + "# Get the x and y positions of particles from the results csv\n", + "df = pd.read_csv(\"results/results_match_template_60S.csv\")\n", + "x = df[\"pos_x_img\"].values\n", + "y = df[\"pos_y_img\"].values\n", + "var = df[\"correlation_variance\"].values\n", + "\n", + "# Plot the greyscale image\n", + "plt.figure(figsize=(10, 8))\n", + "plt.imshow(data, cmap=\"gray\")\n", + "plt.scatter(x, y, c=var, cmap=\"bwr\", alpha=0.5)\n", + "plt.colorbar(label=\"Correlation Variance\")\n", + "plt.xlabel(\"X Position (pixels)\")\n", + "plt.ylabel(\"Y Position (pixels)\")\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "6cac11e6", + "metadata": {}, + "source": [ + "Multiple data processing strategies can help account for these dark patches (or other imaging artifacts) some of which are:\n", + "\n", + "* Replacing that region in the image with Gaussian noise with the same mean and standard deviation as the rest of the image,\n", + "* Excluding peaks picked in the artifact region, and\n", + "* Filtering based on both the MIP and z-score.\n", + "\n", + "For the purposes of this tutorial we simply impose that both MIP and z-score (scaled MIP) are above the cutoff threshold.\n", + "This will remove these false positives at the cost of increasing the false negative rate." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "57972cb8", + "metadata": {}, + "outputs": [], + "source": [ + "# Calculate the cutoff value\n", + "# Using the total_correlations from the first row since it's the same for all rows\n", + "# Also, manually calculating the number of pixels in the result files\n", + "num_ccg = df[\"total_correlations\"].iloc[0] * (4096 - 512 + 1) ** 2\n", + "cutoff = gaussian_noise_zscore_cutoff(num_ccg, false_positives=1.0)\n", + "\n", + "print(f\"Cutoff value: {cutoff:.4f}\")\n", + "\n", + "filtered_df = df[(df[\"mip\"] > cutoff) & (df[\"scaled_mip\"] > cutoff)]\n", + "filtered_df.to_csv(\"results/results_match_template_60S_edit.csv\")\n", + "\n", + "# Print the original and filtered number of peaks\n", + "print(f\"Original number of peaks: {len(df)}\")\n", + "print(f\"Filtered number of peaks: {len(filtered_df)}\")" + ] + }, + { + "cell_type": "markdown", + "id": "e30f7401", + "metadata": {}, + "source": [ + "## 6. Running refine template\n", + "\n", + "We will now run the refine template program on the identified 60S particles.\n", + "Note that this will not find additional LSU particles, but it will improve our estimates fo the location and orientation for each already found particle.\n", + "The main difference between match template and refine template is match template runs on the entire micrograph over all orientations whereas refine template searches over a particle stack on already oriented particles around local orientations." + ] + }, + { + "cell_type": "markdown", + "id": "d26b2308", + "metadata": {}, + "source": [ + "### Inspecting the refine template YAML file\n", + "\n", + "We are again using a YAML file to configure our refine template run, and this time we will briefly inspect the YAML file.\n", + "The `particle_stack` field warrants some discussion.\n", + "\n", + "Here, `particle_stack.df_path` is the path to the output csv file from the match template program; this csv file contains per-particle information on location and orientation, and we have already used this csv file to visualize results in the above plot.\n", + "\n", + "The two other field, `particle_stack.original_template_size` and `particle_stack.extracted_box_size`, are used to crop out boxes around a particle in the original image.\n", + "Our map was simulated as a $(512, 512, 512)$ box so the generated projections and therefore original template size field are both $[512, 512]$.\n", + "The extracted box size here is $[518, 518]$, six pixels (must be even) wider/taller than the projections meaning the peak is constrained to a 6x6 region during the refinement.\n", + "\n", + "Again, if your system as fewer/more GPUs, remember to adjust the `gpu_ids` field." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b7cecb0b", + "metadata": {}, + "outputs": [], + "source": [ + "# Read the YAML file\n", + "with open(\"configs/refine_template_config_60S.yaml\") as f:\n", + " yaml_content = f.read()\n", + "\n", + "# Display as markdown code block\n", + "display(Markdown(f\"```yaml\\n{yaml_content}\\n```\"))" + ] + }, + { + "cell_type": "markdown", + "id": "c2f1b7d9", + "metadata": {}, + "source": [ + "### Running refine template\n", + "\n", + "Template refinement is less computationally intensive than full match template, but the results can again be downloaded directly." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c900548a", + "metadata": {}, + "outputs": [], + "source": [ + "YAML_CONFIG_PATH = \"configs/refine_template_config_60S.yaml\"\n", + "DATAFRAME_OUTPUT_PATH = \"results/results_refine_template_60S.csv\"\n", + "PARTICLE_BATCH_SIZE = 64 # Adjust based on your GPU memory\n", + "\n", + "\n", + "def run_refine_template_60S():\n", + " \"\"\"Main function to run the refine template program.\"\"\"\n", + " rt_manager = RefineTemplateManager.from_yaml(\n", + " \"configs/refine_template_config_60S.yaml\"\n", + " )\n", + "\n", + " # Ignore UserWarning during refinement call\n", + " with warnings.catch_warnings():\n", + " warnings.simplefilter(\"ignore\", UserWarning)\n", + " rt_manager.run_refine_template(DATAFRAME_OUTPUT_PATH, PARTICLE_BATCH_SIZE)\n", + "\n", + "\n", + "# NOTE: Invoking program under `if __name__ == \"__main__\"` necessary for multiprocessing\n", + "if __name__ == \"__main__\":\n", + " run_refine_template_60S()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6d97164f", + "metadata": {}, + "outputs": [], + "source": [ + "# # Uncomment this to download the refine template result files\n", + "# # fmt: off\n", + "# file_downloads = [\n", + "# (\"results\", \"https://zenodo.org/records/15368246/files/results_refine_template_60S.csv\"),\n", + "# ]\n", + "\n", + "# # Loop through files list and download each\n", + "# for out_dir, file_url in file_downloads:\n", + "# # Create the directory if it doesn't exist\n", + "# os.makedirs(out_dir, exist_ok=True)\n", + "\n", + "# # Skip if the file already exists\n", + "# fname = file_url.split(\"/\")[-1]\n", + "# if os.path.exists(f\"{out_dir}/{fname}\"):\n", + "# print(f\"Skipped {fname}, it already exists in {out_dir}.\")\n", + "# continue\n", + "\n", + "# # Download the file\n", + "# filename = download_zenodo_file(file_url, out_dir)\n", + "# print(f\"Downloaded {filename} to {out_dir}\")" + ] + }, + { + "cell_type": "markdown", + "id": "f8cd320c", + "metadata": {}, + "source": [ + "## 7. Initial 40S match template search\n", + "\n", + "The 40S SSU is smaller and more conformationally flexible than the 60S LSU making it harder to identify using 2DTM.\n", + "Nonetheless, we will first do a full match template search for the 40S and look at the results.\n", + "\n", + "Running an initial full match template search on the constrained particle is also necessary since we need the mean and variance of cross-correlation values over the search space for normalization.\n", + "Also, we are only searching for the SSU body since it is more rigid leading to higher quality 2DTM results." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "df0bde43", + "metadata": {}, + "outputs": [], + "source": [ + "YAML_CONFIG_PATH = \"configs/match_template_config_40S.yaml\"\n", + "ORIENTATION_BATCH_SIZE = 8\n", + "\n", + "\n", + "def run_match_template_40S():\n", + " \"\"\"Main function to run the match template program.\"\"\"\n", + " mt_manager = MatchTemplateManager.from_yaml(YAML_CONFIG_PATH)\n", + " mt_manager.run_match_template(ORIENTATION_BATCH_SIZE)\n", + " df = mt_manager.results_to_dataframe(locate_peaks_kwargs={\"false_positives\": 1.0})\n", + " df.to_csv(\"results/results_match_template_40S.csv\")\n", + "\n", + "\n", + "# NOTE: invoking from `if __name__ == \"__main__\"` is necessary\n", + "# for proper multiprocessing/GPU-distribution behavior\n", + "if __name__ == \"__main__\":\n", + " run_match_template_40S()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b4963d87", + "metadata": {}, + "outputs": [], + "source": [ + "# TODO: Download cell for pre-processed 40S results" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "70f7cdfc", + "metadata": {}, + "outputs": [], + "source": [ + "# TODO: Scatter plot of the 40S results like for 60S" + ] + }, + { + "cell_type": "markdown", + "id": "da635192", + "metadata": {}, + "source": [ + "We've found 177 peaks, but many of these fall in the corner of the micrograph in the lamella edge as visualized below.\n", + "Applying the same filtering cutoff filtering process removes these false-positives." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fc8df6b5", + "metadata": {}, + "outputs": [], + "source": [ + "# TODO: code for filtering the 40S particles and re-plotting their locations along with\n", + "# 60S particles" + ] + }, + { + "cell_type": "markdown", + "id": "1c01e148", + "metadata": {}, + "source": [ + "Data for both the SSU and LSU have now been processed, and we could attempt to combine these results to classify complete 80S ribosomes based on rotation angle.\n", + "However, many of the SSU particle are obsucred by noise and therefore irrecoverable.\n", + "\n", + "A better strategy would be a constraind search for the 40S particle based on the positions and orientations of already identified 60S particles.\n", + "By restricting the 2DTM search space (both location and orientation), we lower our noise floor thus increasing our sensitivity." + ] + }, + { + "cell_type": "markdown", + "id": "98525326", + "metadata": {}, + "source": [ + "## 8. Constrained Search\n", + "\n", + "The 40S subunit has many degrees of freedom. It can rotate relative to the 60S and also within the 40S there is head and body domain that can 'swivel' with respect to one another.\n", + "For the purpose of this tutorial, we will ignore the latter and consider the 40S as one rigid body moving with respect to the 60S.\n", + "\n", + "### ChimeraX processing\n", + "\n", + "The first thing we need to do is find out the axis of rotation (between the LSU and SSU) using two PDB models, 3j77 and 3j78, that are in different rotational states.\n", + "These two models were first processed in ChimeraX using the matchmaker function to align them relative to the 60S model we template matched against.\n", + "After alignment, only the protein structures in the 40S subunit were selected and exported to the two files: `3j77_SSU_aligned_zero.pdb` and `3j78_SSU_aligned_zero.pdb` which were downloaded previously.\n", + "\n", + "### Script for finding the rotation axis\n", + "\n", + "We now run the following script, [`Leopard-EM/programs/constrained_search/utils/get_rot_axis.py`](https://github.com/Lucaslab-Berkeley/Leopard-EM/blob/main/programs/constrained_search/utils/get_rot_axis.py), which finds the relative rotation axis between two PDB models and calculates the rotation to align this rotation axis along the \"Z\" direction.\n", + "The script outputs the Euler angles necessary for alignment which is a necessary input for the constrained search program.\n", + "\n", + "In practice, you would run `python get_rot_axis.py `, but to keep the tutorial self-contained, we copy the script functions below." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "355dbd3c", + "metadata": {}, + "outputs": [], + "source": [ + "def extract_rotation_axis_angle(\n", + " rotmat: torch.Tensor | np.ndarray,\n", + ") -> tuple[np.ndarray, float]:\n", + " \"\"\"Extract rotation axis and angle from rotation matrix handling edge cases.\n", + "\n", + " Attributes\n", + " ----------\n", + " rotmat: torch.Tensor | np.ndarray\n", + " The rotation matrix either as a torch tensor or numpy array.\n", + "\n", + " Returns\n", + " -------\n", + " tuple[np.ndarray, float]\n", + " The rotation axis and angle with angle in units of radians.\n", + " \"\"\"\n", + " rotmat = rotmat.numpy() if isinstance(rotmat, torch.Tensor) else rotmat\n", + "\n", + " rotation = Rotation.from_matrix(rotmat)\n", + " rotvec = rotation.as_rotvec()\n", + "\n", + " angle = np.linalg.norm(rotvec)\n", + "\n", + " # Handle edge case for very small angles (near zero)\n", + " if np.abs(angle) < 1e-6:\n", + " return np.array([0.0, 0.0, 1.0]), angle\n", + "\n", + " # NOTE: Edge case for angles near 180 degrees handled by scipy internally\n", + " axis = rotvec / angle\n", + "\n", + " return axis, angle\n", + "\n", + "\n", + "def calculate_axis_euler_angles(axis: torch.Tensor | np.ndarray) -> tuple[float, float]:\n", + " \"\"\"Calculate Euler angles (ZYZ) that for the rotation axis.\n", + "\n", + " Attributes\n", + " ----------\n", + " axis: torch.Tensor | np.ndarray\n", + " The rotation axis.\n", + "\n", + " Returns\n", + " -------\n", + " tuple[float, float]\n", + " The Euler angles in units of degrees\n", + " \"\"\"\n", + " z_axis = np.array([0.0, 0.0, 1.0], dtype=np.float32)\n", + " axis = axis.numpy() if isinstance(axis, torch.Tensor) else axis\n", + "\n", + " # Edge case for axis already aligned with z-axis\n", + " if np.linalg.norm(axis - z_axis) < 1e-6:\n", + " return 0.0, 0.0\n", + "\n", + " # Edge case for axis anti-aligned with z-axis\n", + " if np.linalg.norm(axis + z_axis) < 1e-6:\n", + " return 0.0, 180.0\n", + "\n", + " # Calculate theta - angle from z-axis (polar angle)\n", + " cos_theta = np.dot(axis, z_axis)\n", + " theta = np.acos(np.clip(cos_theta, -1.0, 1.0)) * 180 / np.pi\n", + "\n", + " # Calculate phi - angle in xy plane (azimuthal angle)\n", + " phi = np.atan2(axis[1], axis[0]) * 180 / np.pi\n", + " if phi < 0:\n", + " phi += 360.0 # Convert to 0-360 range\n", + "\n", + " return phi, theta\n", + "\n", + "\n", + "def process_pdb_files(\n", + " pdb_file1: str, pdb_file2: str\n", + ") -> tuple[np.ndarray, float, float, float]:\n", + " \"\"\"Helper function to calculate the rotation axis and angle for two PDB files.\n", + "\n", + " Parameters\n", + " ----------\n", + " pdb_file1: str\n", + " Path to the first PDB file.\n", + " pdb_file2: str\n", + " Path to the second PDB file.\n", + "\n", + " Returns\n", + " -------\n", + " tuple[np.ndarray, float, float, float]\n", + " The rotation axis, rotation angle in radians, and Euler angles (phi, theta).\n", + " \"\"\"\n", + " # Read PDB files\n", + " df1 = mmdf.read(pdb_file1)\n", + " df2 = mmdf.read(pdb_file2)\n", + "\n", + " # Extract coordinates\n", + " coords1 = torch.tensor(df1[[\"x\", \"y\", \"z\"]].values, dtype=torch.float32)\n", + " coords2 = torch.tensor(df2[[\"x\", \"y\", \"z\"]].values, dtype=torch.float32)\n", + "\n", + " # Center coordinates\n", + " centroid1 = coords1.mean(dim=0)\n", + " centroid2 = coords2.mean(dim=0)\n", + " coords1_centered = coords1 - centroid1\n", + " coords2_centered = coords2 - centroid2\n", + "\n", + " # Calculate rotation matrix\n", + " rotation_matrix, _ = roma.rigid_points_registration(\n", + " coords1_centered, coords2_centered\n", + " )\n", + "\n", + " # Extract rotation axis and angle plus Euler angles\n", + " rotation_axis, rotation_angle = extract_rotation_axis_angle(rotation_matrix)\n", + " phi, theta = calculate_axis_euler_angles(rotation_axis)\n", + "\n", + " # radians to degrees\n", + " rotation_angle = np.rad2deg(rotation_angle)\n", + "\n", + " return rotation_axis, rotation_angle, phi, theta\n", + "\n", + "\n", + "def write_results(\n", + " output_file: str,\n", + " pdb_file1: str,\n", + " pdb_file2: str,\n", + " rotation_axis: np.ndarray,\n", + " rotation_angle: float,\n", + " phi: float,\n", + " theta: float,\n", + ") -> None:\n", + " \"\"\"Helper function to write the script results to a file.\"\"\"\n", + " suggested_range = min(30.0, max(10.0, rotation_angle / 2))\n", + " results_string = f\"\"\"# PDB Rotation Analysis Results\\n\n", + " Source PDB: {pdb_file1}\n", + " Target PDB: {pdb_file2}\n", + "\n", + " ## Rotation Parameters\n", + " Axis: {rotation_axis[0]:.6f} {rotation_axis[1]:.6f} {rotation_axis[2]:.6f}\n", + " Angle: {rotation_angle:.6f} degrees\\n\n", + "\n", + " ## Axis Orientation Angles (input for constrained search config)\n", + " rotation_axis_euler_angles: [{phi:.2f}, {theta:.2f}, 0.0]\\n\n", + "\n", + " ## Example constrained search config\n", + " orientation_refinement_config:\n", + " enabled: true\n", + " out_of_plane_step: 1.0 # Step size around the rotation axis\n", + " in_plane_step: 0.5 # Step size for fine adjustment angles\n", + " rotation_axis_euler_angles: [{phi:.2f}, {theta:.2f}, 0.0]\n", + " phi_min: -{suggested_range:.1f} # Search range for around the axis\n", + " phi_max: {suggested_range:.1f}\n", + " theta_min: -2.0 # Small adjustments perpendicular to axis (optional)\n", + " theta_max: 2.0\n", + " psi_min: -2.0 # Small in-plane adjustments (optional)\n", + " psi_max: 2.0\n", + " \"\"\"\n", + "\n", + " # Print the script results to the console\n", + " print(results_string)\n", + "\n", + " # And also write them to a file\n", + " with open(output_file, \"w\", encoding=\"utf-8\") as f:\n", + " f.write(results_string)\n", + "\n", + " print(f\"Rotation analysis written to: {output_file}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "de6768cc", + "metadata": {}, + "outputs": [], + "source": [ + "pdb_file1 = \"models/3j77_SSU_aligned_zero.pdb\"\n", + "pdb_file2 = \"models/3j78_SSU_aligned_zero.pdb\"\n", + "output_file = \"results/rotation_axis.txt\"\n", + "\n", + "rotation_axis, rotation_angle, phi, theta = process_pdb_files(pdb_file1, pdb_file2)\n", + "write_results(\n", + " output_file,\n", + " pdb_file1,\n", + " pdb_file2,\n", + " rotation_axis,\n", + " rotation_angle,\n", + " phi,\n", + " theta,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "5ba94c28", + "metadata": {}, + "source": [ + "These Euler angles tell us the rotation matrix needed to align rotations along the Z-axis meaning we can perform a simple angular search over the phi/psi range." + ] + }, + { + "cell_type": "markdown", + "id": "f66a018c", + "metadata": {}, + "source": [ + "### Determining relative defocus of constrained particle\n", + "\n", + "As well as constraining orientations and $(x, y)$ positions, we can eliminate the defocus search.\n", + "The constrained search program uses the defocus and orientation of the 60S particle to work out the defocus of the 40S particle.\n", + "However, we need to provide the offset between the two subunits which can be calculated using this script: [`Leopard-EM/programs/constrained_search/utils/get_center_vector.py`](https://github.com/Lucaslab-Berkeley/Leopard-EM/blob/main/programs/constrained_search/utils/get_center_vector.py).\n", + "The contents of the script are copied below to keep the tutorial self-contained." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bb81167d", + "metadata": {}, + "outputs": [], + "source": [ + "def calculate_mean_position(df: pd.DataFrame) -> torch.Tensor:\n", + " \"\"\"Calculate the mean position of a PDB structure loaded into a dataframe.\"\"\"\n", + " coords = torch.tensor(df[[\"x\", \"y\", \"z\"]].values, dtype=torch.float32)\n", + " mean_pos = coords.mean(dim=0)\n", + "\n", + " return mean_pos\n", + "\n", + "\n", + "def calculate_relative_vectors(pdb_file1: str, pdb_file2: str) -> dict:\n", + " \"\"\"\n", + " Calculate the relative position and orientation vectors between two PDB structures.\n", + "\n", + " Parameters\n", + " ----------\n", + " pdb_file1 : str\n", + " Path to the first PDB file\n", + " pdb_file2 : str\n", + " Path to the second PDB file\n", + "\n", + " Returns\n", + " -------\n", + " dict\n", + " Dictionary containing relative vector data including:\n", + " - df1, df2: DataFrames for both PDB files\n", + " - vector: Vector from PDB1 to PDB2\n", + " - euler_angles: Phi, Theta, Psi angles\n", + " - z_diff: Z height difference\n", + " - defocus_description: Human-readable defocus description\n", + " \"\"\"\n", + " # Parse PDB files using mmdf\n", + " df1 = mmdf.read(pdb_file1)\n", + " df2 = mmdf.read(pdb_file2)\n", + "\n", + " print(f\"File 1: {pdb_file1} - {len(df1)} atoms\")\n", + " print(f\"File 2: {pdb_file2} - {len(df2)} atoms\")\n", + "\n", + " # Calculate mean positions at default orientation (0, 0, 0)\n", + " mean_pos1 = calculate_mean_position(df1)\n", + " mean_pos2 = calculate_mean_position(df2)\n", + "\n", + " # Calculate vector from PDB1 to PDB2\n", + " vector = mean_pos2 - mean_pos1\n", + "\n", + " # Convert vector to Euler angles\n", + " phi, theta, psi = roma.rotvec_to_euler(\n", + " convention=\"ZYZ\", rotvec=vector, degrees=True, as_tuple=True\n", + " )\n", + "\n", + " # Calculate Z-height difference (defocus)\n", + " z_diff = vector[2].item()\n", + " defocus_description = (\n", + " f\"{abs(z_diff):.2f} Angstroms {'below' if z_diff < 0 else 'above'}\"\n", + " )\n", + "\n", + " # Print initial results\n", + " initial_results = f\"\"\"Initial Analysis:\n", + " Vector from PDB1 to PDB2: [{vector[0]:.6f}, {vector[1]:.6f}, {vector[2]:.6f}]\n", + " Vector Euler angles (ZYZ, deg): Phi={phi:.2f}, Theta={theta:.2f}, Psi={psi:.2f}\n", + " Z-height difference (defocus): {defocus_description}\n", + " \"\"\"\n", + " print(initial_results)\n", + "\n", + " return {\n", + " \"df1\": df1,\n", + " \"df2\": df2,\n", + " \"vector\": vector,\n", + " \"euler_angles\": (phi, theta, psi),\n", + " \"z_diff\": z_diff,\n", + " \"defocus_description\": defocus_description,\n", + " }\n", + "\n", + "\n", + "def process_rotations(vector: torch.Tensor, num_rotations: int) -> list:\n", + " \"\"\"\n", + " Process each rotation and calculate the resulting defocus.\n", + "\n", + " Parameters\n", + " ----------\n", + " vector : torch.Tensor\n", + " The original vector between structures\n", + " num_rotations : int\n", + " Number of random rotations to test (in addition to default orientation)\n", + "\n", + " Returns\n", + " -------\n", + " list\n", + " List of dictionaries with defocus results for each rotation\n", + " \"\"\"\n", + " print(\"\\nDefocus changes for different rotations:\")\n", + " defocus_results = []\n", + "\n", + " for i in range(num_rotations + 1):\n", + " if i == 0:\n", + " rand_rotmat = torch.eye(3)\n", + " else:\n", + " rand_rotmat = roma.random_rotmat()\n", + "\n", + " rand_euler = roma.rotmat_to_euler(\"ZYZ\", rand_rotmat, degrees=True)\n", + " rotated_vector = rand_rotmat @ vector\n", + "\n", + " # Extract new z-component (defocus)\n", + " new_z_diff = rotated_vector[2].item()\n", + " new_defocus = (\n", + " f\"{abs(new_z_diff):.2f} Angstroms {'below' if new_z_diff < 0 else 'above'}\"\n", + " )\n", + " print(f\"Rotation #{i+1} - {rand_euler}: Defocus = {new_defocus}\")\n", + "\n", + " defocus_results.append(\n", + " {\n", + " \"rotation\": i + 1,\n", + " \"euler_angles\": [angle.item() for angle in rand_euler],\n", + " \"defocus\": new_z_diff,\n", + " \"description\": new_defocus,\n", + " }\n", + " )\n", + "\n", + " return defocus_results\n", + "\n", + "\n", + "def write_results_to_file(\n", + " output_file: str,\n", + " pdb_file1: str,\n", + " pdb_file2: str,\n", + " vector_info: dict,\n", + " defocus_results: list,\n", + ") -> None:\n", + " \"\"\"\n", + " Write analysis results to output file.\n", + "\n", + " Parameters\n", + " ----------\n", + " output_file : str\n", + " Path to output file\n", + " pdb_file1 : str\n", + " Path to first PDB file\n", + " pdb_file2 : str\n", + " Path to second PDB file\n", + " vector_info : dict\n", + " Dictionary with vector data from calculate_relative_vectors\n", + " defocus_results : list\n", + " List of defocus results from process_rotations\n", + " \"\"\"\n", + " vector = vector_info[\"vector\"]\n", + " phi, theta, psi = vector_info[\"euler_angles\"]\n", + " defocus_description = vector_info[\"defocus_description\"]\n", + "\n", + " result_string = f\"\"\"# PDB Vector and Defocus Analysis\n", + " Source PDB 1: {pdb_file1}\n", + " Source PDB 2: {pdb_file2}\n", + "\n", + " ## Initial Vector Analysis\n", + " Vector PDB1-PDB2: [{vector[0]:.6f}, {vector[1]:.6f}, {vector[2]:.6f}]\n", + " Vector Eulers (ZYZ, deg): Phi={phi:.2f}, Theta={theta:.2f}, Psi={psi:.2f}\n", + " Z-height difference (defocus): {defocus_description}\n", + "\n", + " ## Defocus changes for different rotations\n", + " \"\"\"\n", + " for result in defocus_results:\n", + " euler = result[\"euler_angles\"]\n", + " result_string += (\n", + " f\" Rotation #{result['rotation']} - \"\n", + " f\" Euler({euler[0]:.2f}, {euler[1]:.2f}, {euler[2]:.2f}): \"\n", + " )\n", + " result_string += f\"Defocus = {result['description']}\\n\"\n", + "\n", + " # Write results to file\n", + " with open(output_file, \"w\") as f:\n", + " f.write(result_string)\n", + "\n", + " print(f\"\\nAnalysis results written to {output_file}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "73f7e2a4", + "metadata": {}, + "outputs": [], + "source": [ + "output_file = \"results/rotation_defocus_analysis.txt\"\n", + "pdb_file1 = \"models/60S_aligned_aligned_zero.pdb\"\n", + "pdb_file2 = \"models/6q8y_SSU_no_head_aligned_aligned_zero.pdb\"\n", + "\n", + "vector_info = calculate_relative_vectors(pdb_file1, pdb_file2)\n", + "defocus_results = process_rotations(vector_info[\"vector\"], 5)\n", + "write_results_to_file(output_file, pdb_file1, pdb_file2, vector_info, defocus_results)" + ] + }, + { + "cell_type": "markdown", + "id": "089947ba", + "metadata": {}, + "source": [ + "The piece of information we need for the constrained search is the relative vector from the first PDB (reference 60S model) to the second PDB (40S without head).\n", + "In this case, the positional vector is `[88.023109, 52.080257, 45.528008]`." + ] + }, + { + "cell_type": "markdown", + "id": "762ad206", + "metadata": {}, + "source": [ + "### Configuring and running the constrained search\n", + "\n", + "Now that the hard work of obtaining the necessary info for configuring the constrained search, we can move onto actually running the program.\n", + "The constrained search is a balance between limiting the number of cross-correlations to minimize noise and increasing the 2DTM SNR with progressively finer sampling.\n", + "We employ a multi-step approach in this tutorial to strike this balance.\n", + "\n", + "Just like the other programs in Leopard-EM, we have a YAML configuration file for the constrained search program.\n", + "Our first search is around the Z-axis done by specifying a range for angle psi.\n", + "\n", + "*Note: The Euler angles phi and psi, in this case, are degenerate, and we could equivalently proceed using phi in-place of psi.*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "98001351", + "metadata": {}, + "outputs": [], + "source": [ + "# Read the YAML file\n", + "with open(\"configs/constrained_config_step1.yaml\") as file:\n", + " yaml_content = file.read()\n", + "\n", + "# Display as markdown code block\n", + "display(Markdown(f\"```yaml\\n{yaml_content}\\n```\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c737928e", + "metadata": {}, + "outputs": [], + "source": [ + "YAML_CONFIG_PATH = \"configs/constrained_config_step1.yaml\"\n", + "DATAFRAME_OUTPUT_PATH = \"results/constrained_search_results_step1.csv\"\n", + "PARTICLE_BATCH_SIZE = 64\n", + "FALSE_POSITIVES = 0.005 # False positives per particle\n", + "\n", + "\n", + "def run_constrained_search_step1():\n", + " \"\"\"Main function to run the constrained search program.\"\"\"\n", + " cs_manager = ConstrainedSearchManager.from_yaml(YAML_CONFIG_PATH)\n", + "\n", + " # Ignore UserWarning during refinement call\n", + " with warnings.catch_warnings():\n", + " warnings.simplefilter(\"ignore\", UserWarning)\n", + " cs_manager.run_constrained_search(\n", + " DATAFRAME_OUTPUT_PATH,\n", + " locate_peaks_kwargs={\"false_positives\": FALSE_POSITIVES},\n", + " particle_batch_size=PARTICLE_BATCH_SIZE,\n", + " )\n", + " cs_manager = ConstrainedSearchManager.from_yaml(YAML_CONFIG_PATH)\n", + " cs_manager.run_constrained_search(\n", + " output_dataframe_path=DATAFRAME_OUTPUT_PATH,\n", + " false_positives=FALSE_POSITIVES,\n", + " orientation_batch_size=PARTICLE_BATCH_SIZE,\n", + " )\n", + "\n", + "\n", + "# NOTE: Invoking program under `if __name__ == \"__main__\"` necessary for multiprocessing\n", + "if __name__ == \"__main__\":\n", + " run_constrained_search_step1()" + ] + }, + { + "cell_type": "markdown", + "id": "bec7587a", + "metadata": {}, + "source": [ + "We have increased the number of 40S picks by over an order of magnitude, from 16 to 262, using the constrained 2DTM search." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9e35d265", + "metadata": {}, + "outputs": [], + "source": [ + "df_40S_full = pd.read_csv(\n", + " \"results/results_match_template_40S_filtered.csv\"\n", + ") # TODO: find appropriate name\n", + "df_40S_constrained_step1 = pd.read_csv(\"results/constrained_search_results_step1.csv\")\n", + "\n", + "print(f\"Full match template 40S particles: {len(df_40S_full)}\")\n", + "print(f\"Constrained match template search: {len(df_40S_constrained_step1)}\")" + ] + }, + { + "cell_type": "markdown", + "id": "b6ba43e8", + "metadata": {}, + "source": [ + "### Running the second constrained search\n", + "\n", + "There could be a further benefit to searching over an axis orthogonal to the Z-axis.\n", + "We will do this in two steps, where a search over each rotation axis is considered independently, to minimize the total number of cross-correlations calculated and control the noise floor.\n", + "\n", + "We can define the direction of this orthogonal axis using the `roll_axis` parameter (default is Y-axis with `[0, 1]`).\n", + "If the rotation in the orthogonal direction is significant, then we could find the best roll axis to search over by setting the `search_roll_axis` field to true.\n", + "However, we expect the rotation to be small, se we just use the default axis for now.\n", + "\n", + "The file [`configs/constrained_config_step2.yaml`](./configs/constrained_config_step2.yaml) contains the updated orientation search parameters for the roll axis, and we perform a second constrained search using the previous results." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dc273d03", + "metadata": {}, + "outputs": [], + "source": [ + "YAML_CONFIG_PATH = \"configs/constrained_config_step2.yaml\"\n", + "DATAFRAME_OUTPUT_PATH = \"results/constrained_search_results_step2.csv\"\n", + "PARTICLE_BATCH_SIZE = 64\n", + "FALSE_POSITIVES = 0.005 # False positives per particle\n", + "\n", + "\n", + "def run_constrained_search_step2():\n", + " \"\"\"Main function to run the constrained search program.\"\"\"\n", + " cs_manager = ConstrainedSearchManager.from_yaml(YAML_CONFIG_PATH)\n", + " cs_manager.run_constrained_search(\n", + " output_dataframe_path=DATAFRAME_OUTPUT_PATH,\n", + " false_positives=FALSE_POSITIVES,\n", + " orientation_batch_size=PARTICLE_BATCH_SIZE,\n", + " )\n", + "\n", + "\n", + "# NOTE: Invoking program under `if __name__ == \"__main__\"` necessary for multiprocessing\n", + "if __name__ == \"__main__\":\n", + " run_constrained_search_step2()" + ] + }, + { + "cell_type": "markdown", + "id": "b0790653", + "metadata": {}, + "source": [ + "### Running the third & fourth constrained searches\n", + "\n", + "The 40S parameters can be further refined, and we could potentially identify more particles.\n", + "But at each iteration, we accumulate more cross-correlations which in the 2DTM noise model will raise our noise floor.\n", + "Again, this is a balance of maximizing sensitivity while controlling for noise.\n", + "\n", + "We will perform two more successive constrained searches, each with a finer angular sampling step." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3d395824", + "metadata": {}, + "outputs": [], + "source": [ + "YAML_CONFIG_PATH = \"configs/constrained_config_step3.yaml\"\n", + "DATAFRAME_OUTPUT_PATH = \"results/constrained_search_results_step3.csv\"\n", + "PARTICLE_BATCH_SIZE = 64\n", + "FALSE_POSITIVES = 0.005 # False positives per particle\n", + "\n", + "\n", + "def run_constrained_search_step3():\n", + " \"\"\"Main function to run the constrained search program.\"\"\"\n", + " cs_manager = ConstrainedSearchManager.from_yaml(YAML_CONFIG_PATH)\n", + " cs_manager.run_constrained_search(\n", + " output_dataframe_path=DATAFRAME_OUTPUT_PATH,\n", + " false_positives=FALSE_POSITIVES,\n", + " orientation_batch_size=PARTICLE_BATCH_SIZE,\n", + " )\n", + "\n", + "\n", + "# NOTE: Invoking program under `if __name__ == \"__main__\"` necessary for multiprocessing\n", + "if __name__ == \"__main__\":\n", + " run_constrained_search_step3()" + ] + }, + { + "cell_type": "markdown", + "id": "d707ed44", + "metadata": {}, + "source": [ + "During the fourth and final constrained search, we also include a defocus search (configured within the step 4 YAML file)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9dc0acbb", + "metadata": {}, + "outputs": [], + "source": [ + "YAML_CONFIG_PATH = \"configs/constrained_config_step4.yaml\"\n", + "DATAFRAME_OUTPUT_PATH = \"results/constrained_search_results_step4.csv\"\n", + "PARTICLE_BATCH_SIZE = 64\n", + "FALSE_POSITIVES = 0.005 # False positives per particle\n", + "\n", + "\n", + "def run_constrained_search_step4():\n", + " \"\"\"Main function to run the constrained search program.\"\"\"\n", + " cs_manager = ConstrainedSearchManager.from_yaml(YAML_CONFIG_PATH)\n", + " cs_manager.run_constrained_search(\n", + " output_dataframe_path=DATAFRAME_OUTPUT_PATH,\n", + " false_positives=FALSE_POSITIVES,\n", + " orientation_batch_size=PARTICLE_BATCH_SIZE,\n", + " )\n", + "\n", + "\n", + "# NOTE: Invoking program under `if __name__ == \"__main__\"` necessary for multiprocessing\n", + "if __name__ == \"__main__\":\n", + " run_constrained_search_step4()" + ] + }, + { + "cell_type": "markdown", + "id": "48f3ba38", + "metadata": {}, + "source": [ + "## 9. Bringing all the results together\n", + "\n", + "We now need to combine the results from the four steps in our constrained search together.\n", + "There is a helper script [`Leopard-EM/programs/constrained_search/sequential_threshold_processing.py`](TODO-link) which does this automatically (assuming the file name formatting follows this tutorial)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ffd610a6", + "metadata": {}, + "outputs": [], + "source": [ + "# TODO: include code for the sequential thresholding" + ] + }, + { + "cell_type": "markdown", + "id": "0475074e", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "2dtm-dev", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/constrained_tutorial/constrained_tutorial.ipynb b/examples/constrained_tutorial/constrained_tutorial.ipynb new file mode 100644 index 0000000..0c18efa --- /dev/null +++ b/examples/constrained_tutorial/constrained_tutorial.ipynb @@ -0,0 +1,3124 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Constrained Search Tutorial: Advanced Ribosome Detection\n", + "\n", + "## Introduction\n", + "\n", + "This tutorial demonstrates how to locate the 40S small ribosomal subunit by using a **constrained search** methodology based on the 60S large subunit locations and orientations. This approach dramatically improves detection sensitivity for smaller, more flexible particles that are challenging to find with traditional template matching.\n", + "\n", + "### Tutorial Overview\n", + "\n", + "This tutorial covers the complete workflow:\n", + "\n", + "1. **PDB Preprocessing** - Prepare and align ribosome structures\n", + "2. **60S Template Matching** - Locate large subunit particles using traditional methods \n", + "3. **Template Optimization** - Optimize pixel size and other parameters\n", + "4. **60S Refinement** - Improve location and orientation estimates\n", + "5. **40S Template Matching** - Necessary for mean and variance statistics\n", + "6. **Constrained Search** - Use 60S locations to guide 40S detection\n", + "7. **Multi-step Refinement** - Progressive improvement through multiple search steps\n", + "\n", + "### Dataset\n", + "\n", + "We will be using the mrc file `xenon_131_000_0.0_DWS.mrc` that can be found on Zenodo [https://zenodo.org/records/15801285](https://zenodo.org/records/15801285)\n", + "\n", + "The micrograph shows ribosome particles in various orientations and conformational states:\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import mrcfile\n", + "import numpy as np\n", + "\n", + "# Open the MRC file\n", + "with mrcfile.open(\"mgraphs/xenon_131_000_0.0_DWS.mrc\", permissive=True) as mrc:\n", + " # Get the data\n", + " data = mrc.data\n", + "\n", + " # If data is 3D, take the first slice\n", + " if len(data.shape) > 2:\n", + " data = data[0]\n", + "\n", + " # Create a figure with a larger size\n", + " plt.figure(figsize=(12, 12))\n", + "\n", + " # Display the image\n", + " plt.imshow(data, cmap=\"gray\")\n", + "\n", + " # Remove axis ticks for cleaner visualization\n", + " plt.axis(\"off\")\n", + "\n", + " # Show the plot\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "# Part I: Structure Preparation\n", + "\n", + "## Pre-process PDB files\n", + "\n", + "**Goal**: Prepare ribosome structures for template generation by aligning them to a common coordinate system.\n", + "\n", + "**Why this matters**: Proper alignment ensures that 60S and 40S templates maintain their biological relationship, which is critical for the constrained search to work correctly." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Download and edit files\n", + "\n", + "We downloaded a PDB model of the 80S ribosome in the nonrotated state, 6Q8Y.\n", + "We visually inspected and generated two new PDB files of the 40S and 60S subunits.\n", + "For the 40S subunit, the head domain was also removed to leave only the body.\n", + "These models were aligned with respect to the 80S model using the matchmaker function in ChimeraX and saved in the models folder as the following: 6q8y_aligned.pdb, 60S_aligned.pdb, and 6q8y_SSU_no_head_aligned.pdb" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Centre PDB files\n", + "We are next going to centre the 80S PDB file at z,y,x 0,0,0.\n", + "This same shift will be applied to the 40S and 60S PDB so they are all still aligned." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Centering coordinates based on: models/6q8y_aligned.pdb\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/jdickerson/miniconda3/envs/leopard-em/lib/python3.12/site-packages/mmdf/_gemmi_utils.py:53: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", + " return pd.concat(dfs)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Center: tensor([20.9556, 11.8620, 16.9626])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/jdickerson/miniconda3/envs/leopard-em/lib/python3.12/site-packages/mmdf/_gemmi_utils.py:53: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", + " return pd.concat(dfs)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saved: models/6q8y_aligned_aligned_zero.pdb\n", + "Saved: models/60S_aligned_aligned_zero.pdb\n", + "Saved: models/6q8y_SSU_no_head_aligned_aligned_zero.pdb\n" + ] + } + ], + "source": [ + "import os\n", + "\n", + "import mmdf\n", + "import torch\n", + "\n", + "\n", + "def center_and_align_pdbs(pdb_files):\n", + " \"\"\"\n", + " Centers the first PDB file's coordinates at the origin.\n", + "\n", + " Applies the same shift to all other PDB files in the list.\n", + " Saves all files with '_aligned_zero' suffix.\n", + "\n", + " Args:\n", + " pdb_files: List of PDB file paths\n", + " \"\"\"\n", + " if not pdb_files:\n", + " print(\"No PDB files provided\")\n", + " return\n", + "\n", + " # Process the first PDB file\n", + " first_pdb = pdb_files[0]\n", + " print(f\"Centering coordinates based on: {first_pdb}\")\n", + "\n", + " # Read the first file using mmdf\n", + " first_df = mmdf.read(first_pdb)\n", + "\n", + " # Extract coordinates from first file\n", + " coords = torch.tensor(first_df[[\"z\", \"y\", \"x\"]].to_numpy()).float() # (n_atoms, 3)\n", + "\n", + " # Calculate center average\n", + " center = torch.mean(coords, dim=0)\n", + " print(f\"Center: {center}\")\n", + "\n", + " # Calculate the shift needed to center at origin\n", + " shift_vector = -center\n", + "\n", + " # Process all PDB files with the same shift\n", + " for pdb_file in pdb_files:\n", + " # Generate output filename\n", + " base_name = os.path.splitext(pdb_file)[0]\n", + " output_file = f\"{base_name}_aligned_zero.pdb\"\n", + "\n", + " # Read the structure\n", + " df = mmdf.read(pdb_file)\n", + "\n", + " # Apply shift to all coordinates\n", + " coords = torch.tensor(df[[\"z\", \"y\", \"x\"]].to_numpy()).float() # (n_atoms, 3)\n", + " coords += shift_vector # Apply shift to all atoms\n", + "\n", + " # Update coordinates in dataframe\n", + " df[\"z\"] = coords[:, 0].numpy()\n", + " df[\"y\"] = coords[:, 1].numpy()\n", + " df[\"x\"] = coords[:, 2].numpy()\n", + "\n", + " # Write the modified structure\n", + " mmdf.write(output_file, df)\n", + " print(f\"Saved: {output_file}\")\n", + "\n", + "\n", + "# Using your specific file names\n", + "pdb_files = [\n", + " \"models/6q8y_aligned.pdb\",\n", + " \"models/60S_aligned.pdb\",\n", + " \"models/6q8y_SSU_no_head_aligned.pdb\",\n", + "]\n", + "center_and_align_pdbs(pdb_files)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "# Part II: 60S Template Matching\n", + "\n", + "## Initial match template with 60S model\n", + "\n", + "**Goal**: Locate all 60S large ribosomal subunit particles in the micrograph to serve as anchor points for constrained 40S search.\n", + "\n", + "**Strategy**: We start with the larger, more rigid 60S subunit because it's easier to detect reliably with traditional template matching methods.\n", + "\n", + "To perform a constrained search for the SSU, we first need to find the location and orientation of LSUs. \n", + "\n", + "### Simulate the map\n", + "\n", + "The first thing we need to do is generate 3D maps from the PDB model using realistic cryo-EM simulation parameters.\n", + "\n", + "We're going to use the **teamtomo** package `ttsim3d` to simulate realistic cryo-EM conditions including:\n", + "- Electron dose weighting\n", + "- Modulation Transfer Function (MTF) effects \n", + "- B-factor scaling for flexibility\n", + "\n", + "**⚠️ Critical Parameter**: We set `center_atoms=False` to preserve the alignment between 60S and 40S structures. If we centered the 60S at (0,0,0), it would no longer be aligned with the 40S, breaking the constrained search.\n", + "\n", + "The MTF files can be found in the ttsim3d repository under `src/data/`." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Volume generated\n" + ] + } + ], + "source": [ + "from ttsim3d.models import Simulator, SimulatorConfig\n", + "\n", + "# Instantiate the configuration object\n", + "sim_conf = SimulatorConfig(\n", + " voltage=300.0, # in keV\n", + " apply_dose_weighting=True,\n", + " dose_start=0.0, # in e-/A^2\n", + " dose_end=50.0, # in e-/A^2\n", + " dose_filter_modify_signal=\"rel_diff\",\n", + " upsampling=-1, # auto\n", + " mtf_reference=\"falcon4EC_300kv\",\n", + ")\n", + "\n", + "# Instantiate the simulator\n", + "sim = Simulator(\n", + " pdb_filepath=\"models/60S_aligned_aligned_zero.pdb\",\n", + " pixel_spacing=0.95, # Angstroms\n", + " volume_shape=(512, 512, 512),\n", + " center_atoms=False,\n", + " remove_hydrogens=True,\n", + " b_factor_scaling=0.5,\n", + " additional_b_factor=0,\n", + " simulator_config=sim_conf,\n", + ")\n", + "\n", + "# Run the simulation\n", + "volume = sim.run()\n", + "print(\"Volume generated\")\n", + "\n", + "mrc_filepath = \"maps/60S_map_px0.95_bscale0.5.mrc\"\n", + "sim.export_to_mrc(mrc_filepath)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Test match template run\n", + "\n", + "We are now going to run match template on a small image patch. This will give us a few peaks that will allow us to optimize our template further.\n", + "\n", + "The first thing we will do is crop our mrc file 4x in each dimension to be 1kx1k" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cropped image saved as mgraphs/xenon_131_000_0.0_DWS_cropped_2.mrc\n" + ] + } + ], + "source": [ + "import mrcfile\n", + "\n", + "\n", + "def crop_center(image, division_factor):\n", + " \"\"\"Crop the center of the image based on division factor.\"\"\"\n", + " h, w = image.shape\n", + " new_h = h // division_factor\n", + " new_w = w // division_factor\n", + "\n", + " # Calculate start indices for cropping\n", + " start_h = h // 2 - new_h // 2\n", + " start_w = w // 2 - new_w // 2\n", + "\n", + " return image[start_h : start_h + new_h, start_w : start_w + new_w]\n", + "\n", + "\n", + "def main():\n", + " \"\"\"Main function to crop the center of the image.\"\"\"\n", + " input_file = \"mgraphs/xenon_131_000_0.0_DWS.mrc\"\n", + " division_factor = 4 # How much to crop by\n", + "\n", + " # Create output filename\n", + " output_file = input_file.replace(\".mrc\", f\"_cropped_{division_factor}.mrc\")\n", + "\n", + " # Read input MRC\n", + " with mrcfile.open(input_file, permissive=True) as mrc:\n", + " data = mrc.data.copy()\n", + "\n", + " # Ensure the image is 2D\n", + " if len(data.shape) > 2:\n", + " print(\"Warning: Input has more than 2 dimensions. Using first slice.\")\n", + " data = data[0]\n", + "\n", + " # Crop the center\n", + " cropped_data = crop_center(data, division_factor)\n", + "\n", + " # Write output MRC\n", + " with mrcfile.new(output_file, overwrite=True) as mrc_new:\n", + " mrc_new.set_data(cropped_data.astype(np.float32))\n", + " print(f\"Cropped image saved as {output_file}\")\n", + "\n", + "\n", + "if __name__ == \"__main__\":\n", + " main()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We will now set up a full match template run on this image.\n", + "We are using a default peak threshold of 1 false positive per image.\n", + "\n", + "We will use a yaml file to make the inputs a little simpler than using pure python.\n", + "It's also a good idea to run any match_tm jobs in a screen or tmux session as it can be a long running operation." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "```yaml\n", + "\n", + "micrograph_path: mgraphs/xenon_131_000_0.0_DWS_cropped_4.mrc\n", + "template_volume_path: maps/60S_map_px0.95_bscale0.5.mrc\n", + "computational_config:\n", + " gpu_ids:\n", + " - 0\n", + " - 1\n", + " - 2\n", + " - 3\n", + " num_cpus: 8\n", + "defocus_search_config:\n", + " enabled: true\n", + " defocus_max: 1200.0\n", + " defocus_min: -1200.0\n", + " defocus_step: 200.0\n", + "match_template_result:\n", + " allow_file_overwrite: true\n", + " correlation_average_path: results/output_correlation_average.mrc\n", + " correlation_variance_path: results/output_correlation_variance.mrc\n", + " mip_path: results/output_mip.mrc\n", + " orientation_phi_path: results/output_orientation_phi.mrc\n", + " orientation_psi_path: results/output_orientation_psi.mrc\n", + " orientation_theta_path: results/output_orientation_theta.mrc\n", + " relative_defocus_path: results/output_relative_defocus.mrc\n", + " scaled_mip_path: results/output_scaled_mip.mrc\n", + "optics_group:\n", + " label: micrograph_1\n", + " amplitude_contrast_ratio: 0.07\n", + " ctf_B_factor: 60.0\n", + " astigmatism_angle: 39.417260\n", + " defocus_u: 5978.758301\n", + " defocus_v: 5617.462402\n", + " phase_shift: 0.0\n", + " pixel_size: 0.95\n", + " spherical_aberration: 2.7\n", + " voltage: 300.0\n", + "orientation_search_config:\n", + " base_grid_method: uniform\n", + " psi_step: 1.5 # in degrees\n", + " theta_step: 2.5 # in degrees\n", + "preprocessing_filters:\n", + " bandpass_filter:\n", + " enabled: false\n", + " falloff: 0.05\n", + " high_freq_cutoff: 0.5\n", + " low_freq_cutoff: 0.0\n", + " whitening_filter:\n", + " enabled: true\n", + " do_power_spectrum: true\n", + " max_freq: 1.0\n", + " num_freq_bins: null\n", + "```" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Add this to a code cell\n", + "from IPython.display import Markdown, display\n", + "\n", + "# Read the YAML file\n", + "with open(\"configs/match_template_config_crop.yaml\") as file:\n", + " yaml_content = file.read()\n", + "\n", + "# Display as markdown code block\n", + "display(Markdown(f\"```yaml\\n{yaml_content}\\n```\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from leopard_em.pydantic_models.managers import MatchTemplateManager\n", + "\n", + "YAML_CONFIG_PATH = \"configs/match_template_config_crop.yaml\"\n", + "ORIENTATION_BATCH_SIZE = 8\n", + "\n", + "\n", + "def main():\n", + " \"\"\"Main function to run the match template program.\"\"\"\n", + " mt_manager = MatchTemplateManager.from_yaml(YAML_CONFIG_PATH)\n", + " mt_manager.run_match_template(ORIENTATION_BATCH_SIZE)\n", + " df = mt_manager.results_to_dataframe(locate_peaks_kwargs={\"false_positives\": 1.0})\n", + " df.to_csv(\"results/results_match_template_crop.csv\")\n", + "\n", + "\n", + "# NOTE: invoking from `if __name__ == \"__main__\"` is necessary\n", + "# for proper multiprocessing/GPU-distribution behavior\n", + "if __name__ == \"__main__\":\n", + " main()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Looking at the results.csv, we have 13 peaks above threshold. We will use these peaks for improving our simulated map.\n", + "\n", + "---\n", + "\n", + "# Part III: Template Optimization\n", + "\n", + "## Map optimization\n", + "\n", + "**Goal**: Optimize template parameters to maximize detection sensitivity and accuracy.\n", + "\n", + "**Why optimize**: Even small errors in parameters like pixel size can significantly reduce template matching performance. We use the initial detection results to iteratively improve our templates.\n", + "\n", + "### Pixel size\n", + "\n", + "**Most Critical Parameter**: The pixel size used for template simulation must match the experimental data precisely.\n", + "\n", + "**Common sources of error**:\n", + "- PDB models built into maps with incorrect pixel size calibration\n", + "- Microscope magnification calibration errors (typically 1-3% uncertainty)\n", + "- Detector-specific calibration issues\n", + "\n", + "**Optimization strategy**: We use the initial template matching peaks to determine the optimal pixel size by maximizing the correlation scores.\n", + "\n", + "We will use a dedicated YAML configuration file to run the pixel size optimizer:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "```yaml\n", + "#####################################################\n", + "### OptimizeTemplateManager configuration example ###\n", + "#####################################################\n", + "# An example YAML configuration to modify.\n", + "# Call `OptimizeTemplateManager.from_yaml(path)` to load this configuration.\n", + "particle_stack:\n", + " df_path: results/results_match_template_crop.csv # Needs to be readable by pandas\n", + " extracted_box_size: [528, 528]\n", + " original_template_size: [512, 512]\n", + "pixel_size_coarse_search:\n", + " enabled: true\n", + " pixel_size_min: -0.05\n", + " pixel_size_max: 0.05\n", + " pixel_size_step: 0.01\n", + "pixel_size_fine_search:\n", + " enabled: true\n", + " pixel_size_min: -0.008\n", + " pixel_size_max: 0.008\n", + " pixel_size_step: 0.001\n", + "preprocessing_filters:\n", + " whitening_filter:\n", + " do_power_spectrum: true\n", + " enabled: true\n", + " max_freq: 1.0 # In terms of Nyquist frequency\n", + " num_freq_bins: null\n", + " bandpass_filter:\n", + " enabled: false\n", + " falloff: null\n", + " high_freq_cutoff: null\n", + " low_freq_cutoff: null\n", + "computational_config:\n", + " gpu_ids: \n", + " - 0\n", + " num_cpus: 2\n", + "simulator:\n", + " simulator_config:\n", + " voltage: 300.0\n", + " apply_dose_weighting: true\n", + " dose_start: 0.0\n", + " dose_end: 50.0\n", + " dose_filter_modify_signal: \"rel_diff\"\n", + " upsampling: -1 \n", + " mtf_reference: \"falcon4EC_300kv\"\n", + " pdb_filepath: \"models/60S_aligned_aligned_zero.pdb\"\n", + " volume_shape: [512, 512, 512]\n", + " b_factor_scaling: 0.5\n", + " additional_b_factor: 0\n", + " pixel_spacing: 0.95\n", + " center_atoms: false\n", + " remove_hydrogens: true\n", + "\n", + "\n", + "```" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from IPython.display import Markdown, display\n", + "\n", + "# Read the YAML file\n", + "with open(\"configs/optimize_template_config.yaml\") as file:\n", + " yaml_content = file.read()\n", + "\n", + "# Display as markdown code block\n", + "display(Markdown(f\"```yaml\\n{yaml_content}\\n```\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from leopard_em.pydantic_models.managers import OptimizeTemplateManager\n", + "\n", + "OPTIMIZE_YAML_PATH = \"configs/optimize_template_config.yaml\"\n", + "\n", + "\n", + "def main() -> None:\n", + " \"\"\"Main function to run the optimize template program.\"\"\"\n", + " otm = OptimizeTemplateManager.from_yaml(OPTIMIZE_YAML_PATH)\n", + " otm.run_optimize_template(output_text_path=\"results/optimize_template_results.txt\")\n", + "\n", + "\n", + "if __name__ == \"__main__\":\n", + " main()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This gave us a pixel size of 0.936 that we can use from now on.\n", + "\n", + "### Re-simulate maps\n", + "We will now resimulate both the LSU map and also simulate the SSU using the optimized pixel size." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Volume generated\n" + ] + } + ], + "source": [ + "from ttsim3d.models import Simulator, SimulatorConfig\n", + "\n", + "# Instantiate the configuration object\n", + "sim_conf = SimulatorConfig(\n", + " voltage=300.0, # in keV\n", + " apply_dose_weighting=True,\n", + " dose_start=0.0, # in e-/A^2\n", + " dose_end=50.0, # in e-/A^2\n", + " dose_filter_modify_signal=\"rel_diff\",\n", + " upsampling=-1, # auto\n", + " mtf_reference=\"falcon4EC_300kv\",\n", + ")\n", + "\n", + "# Instantiate the simulator\n", + "sim = Simulator(\n", + " pdb_filepath=\"models/60S_aligned_aligned_zero.pdb\",\n", + " pixel_spacing=0.936, # Angstroms\n", + " volume_shape=(512, 512, 512),\n", + " center_atoms=False,\n", + " remove_hydrogens=True,\n", + " b_factor_scaling=0.5,\n", + " additional_b_factor=0,\n", + " simulator_config=sim_conf,\n", + ")\n", + "\n", + "# Run the simulation\n", + "volume = sim.run()\n", + "print(\"Volume generated\")\n", + "\n", + "mrc_filepath = \"maps/60S_map_px0.936_bscale0.5.mrc\"\n", + "sim.export_to_mrc(mrc_filepath)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Volume generated\n" + ] + } + ], + "source": [ + "from ttsim3d.models import Simulator, SimulatorConfig\n", + "\n", + "# Instantiate the configuration object\n", + "sim_conf = SimulatorConfig(\n", + " voltage=300.0, # in keV\n", + " apply_dose_weighting=True,\n", + " dose_start=0.0, # in e-/A^2\n", + " dose_end=50.0, # in e-/A^2\n", + " dose_filter_modify_signal=\"rel_diff\",\n", + " upsampling=-1, # auto\n", + " mtf_reference=\"falcon4EC_300kv\",\n", + ")\n", + "\n", + "# Instantiate the simulator\n", + "sim = Simulator(\n", + " pdb_filepath=\"models/6q8y_SSU_no_head_aligned_aligned_zero.pdb\",\n", + " pixel_spacing=0.936, # Angstroms\n", + " volume_shape=(512, 512, 512),\n", + " center_atoms=False,\n", + " remove_hydrogens=True,\n", + " b_factor_scaling=0.5,\n", + " additional_b_factor=0, # Add to all atoms\n", + " simulator_config=sim_conf,\n", + ")\n", + "\n", + "# Run the simulation\n", + "volume = sim.run()\n", + "print(\"Volume generated\")\n", + "\n", + "mrc_filepath = \"maps/SSU-body_map_px0.936_bscale0.5.mrc\"\n", + "sim.export_to_mrc(mrc_filepath)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Other parameters\n", + "The ctf B-factor is the next most important parameter to optimize. \n", + "For this tutorial, we will maximize the particle counts." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "```yaml\n", + "\n", + "micrograph_path: mgraphs/xenon_131_000_0.0_DWS_cropped_2.mrc\n", + "template_volume_path: maps/60S_map_px0.936_bscale0.0.mrc\n", + "computational_config:\n", + " gpu_ids:\n", + " - 0\n", + " - 1\n", + " - 2\n", + " - 3\n", + " num_cpus: 16\n", + "defocus_search_config:\n", + " enabled: true\n", + " defocus_max: 1200.0\n", + " defocus_min: -1200.0\n", + " defocus_step: 200.0\n", + "match_template_result:\n", + " allow_file_overwrite: true\n", + " correlation_average_path: results/output_correlation_average_optimized_b.mrc\n", + " correlation_variance_path: results/output_correlation_variance_optimized_b.mrc\n", + " mip_path: results/output_mip_optimized_b.mrc\n", + " orientation_phi_path: results/output_orientation_phi_optimized_b.mrc\n", + " orientation_psi_path: results/output_orientation_psi_optimized_b.mrc\n", + " orientation_theta_path: results/output_orientation_theta_optimized_b.mrc\n", + " relative_defocus_path: results/output_relative_defocus_optimized_b.mrc\n", + " scaled_mip_path: results/output_scaled_mip_optimized_b.mrc\n", + "optics_group:\n", + " label: micrograph_1\n", + " amplitude_contrast_ratio: 0.07\n", + " ctf_B_factor: 60.0\n", + " astigmatism_angle: 39.417260\n", + " defocus_u: 5978.758301\n", + " defocus_v: 5617.462402\n", + " phase_shift: 0.0\n", + " pixel_size: 0.936\n", + " spherical_aberration: 2.7\n", + " voltage: 300.0\n", + "orientation_search_config:\n", + " base_grid_method: uniform\n", + " psi_step: 1.5 # in degrees\n", + " theta_step: 2.5 # in degrees\n", + "preprocessing_filters:\n", + " bandpass_filter:\n", + " enabled: false\n", + " falloff: 0.05\n", + " high_freq_cutoff: 0.5\n", + " low_freq_cutoff: 0.0\n", + " whitening_filter:\n", + " enabled: true\n", + " do_power_spectrum: true\n", + " max_freq: 1.0\n", + " num_freq_bins: null\n", + "```" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from IPython.display import Markdown, display\n", + "\n", + "# Read the YAML file\n", + "with open(\"configs/match_template_config_optimize_b.yaml\") as file:\n", + " yaml_content = file.read()\n", + "\n", + "# Display as markdown code block\n", + "display(Markdown(f\"```yaml\\n{yaml_content}\\n```\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"Script is used to optimize the B-factor for a given match template.\"\"\"\n", + "\n", + "import pandas as pd\n", + "\n", + "from leopard_em.pydantic_models.managers import MatchTemplateManager\n", + "\n", + "# The config file for the match template\n", + "MATCH_YAML_PATH = \"configs/match_template_config_optimize_b.yaml\"\n", + "# the B-factor range to optimize over\n", + "B_MIN = 0\n", + "B_MAX = 200\n", + "B_STEP = 10\n", + "# the optimize metric can be:\n", + "# all: optimize mean SNR of peaks\n", + "# best: optimize mean SNR of best n peaks\n", + "# worst: optimize mean SNR of worst n peaks\n", + "# count: Maximise the number of peaks\n", + "OPTIMIZE_METRIC = \"count\"\n", + "# the number of peaks to optimize, -1 for all\n", + "OPTIMIZE_N = -1\n", + "\n", + "\n", + "def get_metric(df: pd.DataFrame) -> float:\n", + " \"\"\"Get the optimization metric for the given dataframe.\n", + "\n", + " Parameters\n", + " ----------\n", + " df : pd.DataFrame\n", + " The dataframe to get the metric for.\n", + "\n", + " Returns\n", + " -------\n", + " float\n", + " The metric for the given dataframe.\n", + " \"\"\"\n", + " subtract_background = df[\"scaled_mip\"]\n", + " if OPTIMIZE_METRIC == \"mean\":\n", + " return float(subtract_background.mean())\n", + " if OPTIMIZE_METRIC == \"best\":\n", + " return float(subtract_background.nlargest(OPTIMIZE_N).mean())\n", + " if OPTIMIZE_METRIC == \"worst\":\n", + " return float(subtract_background.nsmallest(OPTIMIZE_N).mean())\n", + " if OPTIMIZE_METRIC == \"count\":\n", + " return float(subtract_background.count())\n", + "\n", + " raise ValueError(f\"Invalid optimize metric: {OPTIMIZE_METRIC}\")\n", + "\n", + "\n", + "def main() -> None:\n", + " \"\"\"Main function to run the optimize b-factor program.\"\"\"\n", + " b_values = list(range(B_MIN, B_MAX + B_STEP, B_STEP))\n", + " best_metric = -float(\"inf\")\n", + " best_b = 0\n", + " consecutive_decreases = 0\n", + " previous_metric = float(\"-inf\")\n", + "\n", + " for b in b_values:\n", + " mtm = MatchTemplateManager.from_yaml(MATCH_YAML_PATH)\n", + " mtm.optics_group.ctf_B_factor = b\n", + " mtm.run_match_template(\n", + " orientation_batch_size=32, do_result_export=False, do_valid_cropping=False\n", + " )\n", + " df = mtm.results_to_dataframe()\n", + " metric = get_metric(df)\n", + " print(f\"B-factor: {b}, Metric: {metric}\")\n", + " # Write results to CSV\n", + " with open(\"optimize_B_results.csv\", \"a\") as f:\n", + " if b == b_values[0]: # Write header for first iteration\n", + " f.write(f\"b_factor,{OPTIMIZE_METRIC}\\n\")\n", + " f.write(f\"{b},{metric}\\n\")\n", + " if metric > best_metric:\n", + " best_metric = metric\n", + " best_b = b\n", + " if metric > previous_metric:\n", + " consecutive_decreases = 0\n", + " else:\n", + " consecutive_decreases += 1\n", + " if consecutive_decreases >= 2:\n", + " print(\n", + " \"Metric decreased for two consecutive iterations. \"\n", + " \"Stopping B-factor search.\"\n", + " )\n", + " break\n", + "\n", + " previous_metric = metric\n", + " print(f\"Best B-factor: {best_b} with a {OPTIMIZE_METRIC} of {best_metric}\")\n", + " with open(\"results/optimize_B_results.txt\", \"w\", encoding=\"utf-8\") as f:\n", + " f.write(f\"Best B-factor: {best_b} with a {OPTIMIZE_METRIC} of {best_metric}\")\n", + "\n", + "\n", + "if __name__ == \"__main__\":\n", + " main()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This gave us an optimal b-factor of 0." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Match template\n", + "It's now time to do our full match template run using the 60S ribosome map.\n", + "We're going to use a similar yaml file to before, but with the full image and correct pixel size.\n", + "This will take under 3 hours on 4 A6000 ada GPUs. " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "```yaml\n", + "\n", + "micrograph_path: mgraphs/xenon_131_000_0.0_DWS.mrc\n", + "template_volume_path: maps/60S_map_px0.936_bscale0.5.mrc\n", + "computational_config:\n", + " gpu_ids:\n", + " - 0\n", + " - 1\n", + " - 2\n", + " - 3\n", + " num_cpus: 16\n", + "defocus_search_config:\n", + " enabled: true\n", + " defocus_max: 1200.0\n", + " defocus_min: -1200.0\n", + " defocus_step: 200.0\n", + "match_template_result:\n", + " allow_file_overwrite: true\n", + " correlation_average_path: results/output_correlation_average.mrc\n", + " correlation_variance_path: results/output_correlation_variance.mrc\n", + " mip_path: results/output_mip.mrc\n", + " orientation_phi_path: results/output_orientation_phi.mrc\n", + " orientation_psi_path: results/output_orientation_psi.mrc\n", + " orientation_theta_path: results/output_orientation_theta.mrc\n", + " relative_defocus_path: results/output_relative_defocus.mrc\n", + " scaled_mip_path: results/output_scaled_mip.mrc\n", + "optics_group:\n", + " label: micrograph_1\n", + " amplitude_contrast_ratio: 0.07\n", + " ctf_B_factor: 0.0\n", + " astigmatism_angle: 39.417260\n", + " defocus_u: 5978.758301\n", + " defocus_v: 5617.462402\n", + " phase_shift: 0.0\n", + " pixel_size: 0.936\n", + " spherical_aberration: 2.7\n", + " voltage: 300.0\n", + "orientation_search_config:\n", + " base_grid_method: uniform\n", + " psi_step: 1.5 # in degrees\n", + " theta_step: 2.5 # in degrees\n", + "preprocessing_filters:\n", + " bandpass_filter:\n", + " enabled: false\n", + " falloff: 0.05\n", + " high_freq_cutoff: 0.5\n", + " low_freq_cutoff: 0.0\n", + " whitening_filter:\n", + " enabled: true\n", + " do_power_spectrum: true\n", + " max_freq: 1.0\n", + " num_freq_bins: null\n", + "```" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from IPython.display import Markdown, display\n", + "\n", + "# Read the YAML file\n", + "with open(\"configs/match_template_config_60S.yaml\") as file:\n", + " yaml_content = file.read()\n", + "\n", + "# Display as markdown code block\n", + "display(Markdown(f\"```yaml\\n{yaml_content}\\n```\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "YAML_CONFIG_PATH = \"configs/match_template_config_60S.yaml\"\n", + "ORIENTATION_BATCH_SIZE = 8\n", + "\n", + "\n", + "def main():\n", + " \"\"\"Main function to run the match template program.\"\"\"\n", + " mt_manager = MatchTemplateManager.from_yaml(YAML_CONFIG_PATH)\n", + " mt_manager.run_match_template(ORIENTATION_BATCH_SIZE)\n", + " df = mt_manager.results_to_dataframe(locate_peaks_kwargs={\"false_positives\": 1.0})\n", + " df.to_csv(\"results/results_match_template_60S.csv\")\n", + "\n", + "\n", + "# NOTE: invoking from `if __name__ == \"__main__\"` is necessary\n", + "# for proper multiprocessing/GPU-distribution behavior\n", + "if __name__ == \"__main__\":\n", + " main()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We have found 417 peaks above threshold.\n", + "\n", + "However, with this micrograph, we must be careful since the edge of the lamella in the top right of the image can cause false correlations. This is because although the MIP is below threshold, the low variance in these dark patches push the z-score above our threshold.\n", + "\n", + "The recommended strategy is to replace this part of the image with random noise with the same mean and standard deviation of the rest of the image.\n", + "\n", + "For the purpose of this tutorial, we simply impose that both the MIP and scaled MIP must both be above the threshold for call a peak. This will remove these false positives at the cost of increasing false negatives.\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cutoff value: 7.77483174236834\n", + "Original number of particles: 417\n", + "Number of particles after filtering: 406\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from scipy.special import erfcinv\n", + "\n", + "\n", + "def gaussian_noise_zscore_cutoff(num_ccg: int, false_positives: float = 1.0) -> float:\n", + " \"\"\"\n", + " Calculate the cutoff value for the gaussian noise z-score.\n", + "\n", + " Parameters\n", + " ----------\n", + " num_ccg: int\n", + " The number of correlations in the micrograph.\n", + " false_positives: float\n", + " The false positive rate.\n", + "\n", + " Returns\n", + " -------\n", + " float\n", + " The cutoff value for the gaussian noise z-score.\n", + " \"\"\"\n", + " tmp = erfcinv(2.0 * false_positives / num_ccg)\n", + " tmp *= np.sqrt(2.0)\n", + " return float(tmp)\n", + "\n", + "\n", + "def main():\n", + " \"\"\"Main function to filter the results from the match template.\"\"\"\n", + " # Read the CSV file\n", + " df = pd.read_csv(\"results/results_match_template_60S.csv\")\n", + "\n", + " # Calculate the cutoff value\n", + " # Using the total_correlations from the first row since it's the same for all rows\n", + " num_ccg = df[\"total_correlations\"].iloc[0] * (4096 - 512 + 1) ** 2\n", + " cutoff = gaussian_noise_zscore_cutoff(num_ccg, false_positives=1.0)\n", + "\n", + " print(f\"Cutoff value: {cutoff}\")\n", + "\n", + " # Filter rows where either mip or scaled_mip is above the cutoff\n", + " filtered_df = df[(df[\"mip\"] > cutoff) & (df[\"scaled_mip\"] > cutoff)]\n", + "\n", + " # Save the filtered results\n", + " filtered_df.to_csv(\"results/results_match_template_60S_edit.csv\", index=False)\n", + "\n", + " print(f\"Original number of particles: {len(df)}\")\n", + " print(f\"Number of particles after filtering: {len(filtered_df)}\")\n", + "\n", + "\n", + "if __name__ == \"__main__\":\n", + " main()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This filters out 9 particles, so we now have 406 detections." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Refine template\n", + "We're now going to run a refine template on the particles. We are not using this to find new particles, but simply improve our estimates of the location and orientation of each particle we have already found. The main difference between match template and refine template is match template runs on the entire micrograph, whereas refine template searches over a particle stack on already oriented particles.\n", + "\n", + "We're again using a yaml file. The extracted box size is 6x6 bigger than the template (it must be even). This means we only consider the middle 6x6 of each peak. This does not allow the peak to move much, but this is fine for the 60S. " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "```yaml\n", + "###################################################\n", + "### RefineTemplateManager configuration example ###\n", + "###################################################\n", + "# An example YAML configuration to modify.\n", + "# Call `RefineTemplateManager.from_yaml(path)` to load this configuration.\n", + "template_volume_path: maps/60S_map_px0.936_bscale0.5.mrc\n", + "particle_stack:\n", + " df_path: results/results_match_template_60S_edit.csv # Needs to be readable by pandas\n", + " extracted_box_size: [518, 518]\n", + " original_template_size: [512, 512]\n", + "defocus_refinement_config:\n", + " enabled: true\n", + " defocus_max: 100.0 # in Angstroms, relative to \"best\" defocus value in particle stack dataframe\n", + " defocus_min: -100.0 # in Angstroms, relative to \"best\" defocus value in particle stack dataframe\n", + " defocus_step: 20.0 # in Angstroms\n", + "orientation_refinement_config:\n", + " enabled: true\n", + " psi_step_coarse: 1.5 # in degrees\n", + " psi_step_fine: 0.05 # in degrees\n", + " theta_step_coarse: 2.5 # in degrees\n", + " theta_step_fine: 0.05 # in degrees\n", + "pixel_size_refinement_config:\n", + " enabled: false\n", + " pixel_size_min: -0.005\n", + " pixel_size_max: 0.005\n", + " pixel_size_step: 0.001\n", + "preprocessing_filters:\n", + " whitening_filter:\n", + " do_power_spectrum: true\n", + " enabled: true\n", + " max_freq: 1.0 # In terms of Nyquist frequency\n", + " num_freq_bins: null\n", + " bandpass_filter:\n", + " enabled: false\n", + " falloff: null\n", + " high_freq_cutoff: null\n", + " low_freq_cutoff: null\n", + "computational_config:\n", + " gpu_ids: \n", + " - 0\n", + " - 1\n", + " - 2\n", + " - 3\n", + " num_cpus: 8\n", + "```" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from IPython.display import Markdown, display\n", + "\n", + "# Read the YAML file\n", + "with open(\"configs/refine_template_config_60S.yaml\") as file:\n", + " yaml_content = file.read()\n", + "\n", + "# Display as markdown code block\n", + "display(Markdown(f\"```yaml\\n{yaml_content}\\n```\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import time\n", + "\n", + "from leopard_em.pydantic_models.managers import RefineTemplateManager\n", + "\n", + "#######################################\n", + "### Editable parameters for program ###\n", + "#######################################\n", + "\n", + "# Edit your YAML file to configure the refine template program.\n", + "# Needs to reference the outputs from a match template run.\n", + "# See online documentation for more information on editing this file.\n", + "YAML_CONFIG_PATH = \"configs/refine_template_config_60S.yaml\"\n", + "\n", + "# Path to where the dataframe with refined peak parameters will be output.\n", + "DATAFRAME_OUTPUT_PATH = \"results/results_refine_template_60S.csv\"\n", + "\n", + "# Number of particles to refine simultaneously. Will need to tune this parameter\n", + "# based on the memory & computational resources available.\n", + "PARTICLE_BATCH_SIZE = 64\n", + "\n", + "###############################################################\n", + "### Main function called to run the refine template program ###\n", + "###############################################################\n", + "\n", + "\n", + "def main() -> None:\n", + " \"\"\"Main function for running the refine template program.\"\"\"\n", + " rt_manager = RefineTemplateManager.from_yaml(YAML_CONFIG_PATH)\n", + "\n", + " print(\"Loaded configuration.\")\n", + " print(\"Running refine template...\")\n", + "\n", + " start_time = time.time()\n", + "\n", + " rt_manager.run_refine_template(DATAFRAME_OUTPUT_PATH, PARTICLE_BATCH_SIZE)\n", + "\n", + " print(\"Finished core refine_template call.\")\n", + "\n", + " # Print the wall time of the search in HH:MM:SS\n", + " end_time = time.time()\n", + " elapsed_time = end_time - start_time\n", + " elapsed_time_str = time.strftime(\"%H:%M:%S\", time.gmtime(elapsed_time))\n", + " print(f\"Refine template wall time: {elapsed_time_str}\")\n", + "\n", + " print(\"Done!\")\n", + "\n", + "\n", + "# NOTE: Invoking program under `if __name__ == \"__main__\"` necessary for multiprocesing\n", + "if __name__ == \"__main__\":\n", + " main()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We could continue to refine the angles and defocus further by using this refine_results.csv as the input for another refine template. However, we are happy with these angles for now." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Searching for the 40S\n", + "\n", + "The 40S is smaller and more flexible than the 60S, which makes it harder to search for.\n", + "Nonetheless, we will first do a full match template and look at the results. This is also necessary for the constrained search, since the mean and standard deviation from this search is used for to normalize the constrained search.\n", + "We will look for the SSU body only, since this is a rigid part and should therefore give us more overall counts that using the whole thing." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "```yaml\n", + "\n", + "micrograph_path: mgraphs/xenon_131_000_0.0_DWS.mrc\n", + "template_volume_path: maps/SSU-body_map_px0.936_bscale0.5.mrc\n", + "computational_config:\n", + " gpu_ids:\n", + " - 0\n", + " - 1\n", + " - 2\n", + " - 3\n", + " num_cpus: 8\n", + "defocus_search_config:\n", + " enabled: true\n", + " defocus_max: 1200.0\n", + " defocus_min: -1200.0\n", + " defocus_step: 200.0\n", + "match_template_result:\n", + " allow_file_overwrite: true\n", + " correlation_average_path: results/output_correlation_average_40S.mrc\n", + " correlation_variance_path: results/output_correlation_variance_40S.mrc\n", + " mip_path: results/output_mip_40S.mrc\n", + " orientation_phi_path: results/output_orientation_phi_40S.mrc\n", + " orientation_psi_path: results/output_orientation_psi_40S.mrc\n", + " orientation_theta_path: results/output_orientation_theta_40S.mrc\n", + " relative_defocus_path: results/output_relative_defocus_40S.mrc\n", + " scaled_mip_path: results/output_scaled_mip_40S.mrc\n", + "optics_group:\n", + " label: micrograph_1\n", + " amplitude_contrast_ratio: 0.07\n", + " ctf_B_factor: 60.0\n", + " astigmatism_angle: 39.417260\n", + " defocus_u: 5978.758301\n", + " defocus_v: 5617.462402\n", + " phase_shift: 0.0\n", + " pixel_size: 0.936\n", + " spherical_aberration: 2.7\n", + " voltage: 300.0\n", + "orientation_search_config:\n", + " base_grid_method: uniform\n", + " psi_step: 1.5 # in degrees\n", + " theta_step: 2.5 # in degrees\n", + "preprocessing_filters:\n", + " bandpass_filter:\n", + " enabled: false\n", + " falloff: 0.05\n", + " high_freq_cutoff: 0.5\n", + " low_freq_cutoff: 0.0\n", + " whitening_filter:\n", + " enabled: true\n", + " do_power_spectrum: true\n", + " max_freq: 1.0\n", + " num_freq_bins: null\n", + "```" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from IPython.display import Markdown, display\n", + "\n", + "# Read the YAML file\n", + "with open(\"configs/match_template_config_40S.yaml\") as file:\n", + " yaml_content = file.read()\n", + "\n", + "# Display as markdown code block\n", + "display(Markdown(f\"```yaml\\n{yaml_content}\\n```\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "YAML_CONFIG_PATH = \"configs/match_template_config_40S.yaml\"\n", + "ORIENTATION_BATCH_SIZE = 8\n", + "\n", + "\n", + "def main():\n", + " \"\"\"Main function to run the match template program.\"\"\"\n", + " mt_manager = MatchTemplateManager.from_yaml(YAML_CONFIG_PATH)\n", + " mt_manager.run_match_template(ORIENTATION_BATCH_SIZE)\n", + " df = mt_manager.results_to_dataframe(locate_peaks_kwargs={\"false_positives\": 1.0})\n", + " df.to_csv(\"results/results_match_template_40S.csv\")\n", + "\n", + "\n", + "# NOTE: invoking from `if __name__ == \"__main__\"` is necessary\n", + "# for proper multiprocessing/GPU-distribution behavior\n", + "if __name__ == \"__main__\":\n", + " main()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We have 249 peaks, but lots of these are in the corner of the micrograph where the edge of the lamella is. We will apply the same filtering." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cutoff value: 7.77483174236834\n", + "Original number of particles: 249\n", + "Number of particles after filtering: 13\n" + ] + } + ], + "source": [ + "def main():\n", + " \"\"\"Main function to filter the results from the match template.\"\"\"\n", + " # Read the CSV file\n", + " df = pd.read_csv(\"results/results_match_template_40S.csv\")\n", + "\n", + " # Calculate the cutoff value\n", + " # Using the total_correlations from the first row since it's the same for all rows\n", + " num_ccg = df[\"total_correlations\"].iloc[0] * (4096 - 512 + 1) ** 2\n", + " cutoff = gaussian_noise_zscore_cutoff(num_ccg, false_positives=1.0)\n", + "\n", + " print(f\"Cutoff value: {cutoff}\")\n", + "\n", + " # Filter rows where either mip or scaled_mip is above the cutoff\n", + " filtered_df = df[(df[\"mip\"] > cutoff) & (df[\"scaled_mip\"] > cutoff)]\n", + "\n", + " # Save the filtered results\n", + " filtered_df.to_csv(\"results/results_match_template_40S_edit.csv\", index=False)\n", + "\n", + " print(f\"Original number of particles: {len(df)}\")\n", + " print(f\"Number of particles after filtering: {len(filtered_df)}\")\n", + "\n", + "\n", + "if __name__ == \"__main__\":\n", + " main()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Results Comparison**: Traditional 40S template matching found only **13 particles** after filtering, compared to **406 particles** for the 60S. This dramatic difference illustrates why constrained search is essential for smaller, more flexible particles.\n", + "\n", + "We could now combine the results from the 60S and 40S searches to classify 80S ribosomes based on 40S rotation angle. However, a better strategy would be to use a constrained search to search for the 40S based on the positions and orientations of the 60S. By restricting the location and orientation space, we lower our threshold and increase our sensitivity.\n", + "\n", + "---\n", + "\n", + "# Part V: Constrained Search Methodology\n", + "\n", + "### Constrained search\n", + "\n", + "**Core Concept**: Instead of searching the entire micrograph for 40S particles, we use the known 60S locations to constrain our search to biologically relevant positions and orientations.\n", + "\n", + "**Biological Basis**: The 40S subunit has many degrees of freedom relative to the 60S:\n", + "- **Inter-subunit rotation**: The 40S can rotate around a specific axis relative to the 60S\n", + "- **Intra-subunit flexibility**: Within the 40S, the head and body domains can 'swivel' relative to each other\n", + "\n", + "For this tutorial, we focus on inter-subunit rotation and consider the 40S as one rigid body moving with respect to the 60S.\n", + "\n", + "### Determining the Rotation Axis\n", + "\n", + "**Strategy**: Use two PDB models (3j77 and 3j78) representing different rotational states to calculate the rotation axis.\n", + "\n", + "**Process**:\n", + "1. **Structural alignment**: Used ChimeraX's matchmaker function to align both models relative to our 60S template\n", + "2. **Subunit extraction**: Selected only 40S subunit proteins and saved as separate PDB files\n", + "3. **Rotation analysis**: Calculate the rotation matrix between the two 40S conformations\n", + "\n", + "The following script (also available in `leopard-em/programs/constrained_search/utils/get_rot_axis.py`) performs this analysis:\n", + "- Determines the rotation axis between two PDB models\n", + "- Calculates the rotation matrix needed to align this axis with the Z-axis\n", + "- Outputs Euler angles for use in constrained search configuration\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Rotation Analysis Results:\n", + "Rotation Axis: [0.206551, 0.841233, 0.499663]\n", + "Rotation Angle: 348.73 degrees\n", + "\n", + "Euler Angles of the rotation axis (ZYZ convention):\n", + " Phi: 76.20 degrees (range 0-360)\n", + " Theta: 60.02 degrees (range 0-180)\n", + "Rotation analysis written to: results/rotation_axis.txt\n", + "\n", + "For your constrained search config.yaml:\n", + "rotation_axis_euler_angles: [76.20, 60.02, 0.0]\n" + ] + } + ], + "source": [ + "import math\n", + "import sys\n", + "\n", + "import roma\n", + "\n", + "sys.argv = [\n", + " \"get_rot_axis.py\",\n", + " \"models/3j77_SSU_aligned_zero.pdb\",\n", + " \"models/3j78_SSU_aligned_zero.pdb\",\n", + " \"results/rotation_axis.txt\",\n", + "]\n", + "\n", + "\n", + "def extract_rotation_axis_angle(rotmat: torch.Tensor) -> tuple[torch.Tensor, float]:\n", + " \"\"\"Extract rotation axis and angle from rotation matrix.\n", + "\n", + " Attributes\n", + " ----------\n", + " rotmat: torch.Tensor\n", + " The rotation matrix.\n", + "\n", + " Returns\n", + " -------\n", + " tuple[torch.Tensor, float]\n", + " The rotation axis and angle.\n", + " \"\"\"\n", + " # Calculate angle from trace\n", + " trace = torch.trace(rotmat)\n", + " cos_theta = (trace - 1) / 2\n", + " cos_theta = torch.clamp(cos_theta, -1.0, 1.0)\n", + " angle = torch.acos(cos_theta)\n", + "\n", + " # Handle special cases (very small angles or near 180 degrees)\n", + " if torch.abs(angle) < 1e-6:\n", + " return torch.tensor([0.0, 0.0, 1.0]), angle\n", + " elif torch.abs(angle - math.pi) < 1e-6:\n", + " diag = torch.diag(rotmat) + 1\n", + " axis_idx = torch.argmax(diag)\n", + " axis = rotmat[:, axis_idx].clone()\n", + " axis = axis / torch.norm(axis)\n", + " # Ensure the axis points in the positive z direction\n", + " if axis[2] < 0:\n", + " axis = -axis\n", + " return axis, angle\n", + "\n", + " # Normal case - extract axis\n", + " axis = torch.tensor(\n", + " [\n", + " rotmat[2, 1] - rotmat[1, 2],\n", + " rotmat[0, 2] - rotmat[2, 0],\n", + " rotmat[1, 0] - rotmat[0, 1],\n", + " ]\n", + " )\n", + "\n", + " # Normalize the axis\n", + " axis = axis / torch.norm(axis)\n", + "\n", + " # Ensure the axis points in the positive z direction\n", + " if axis[2] < 0:\n", + " axis = -axis\n", + " angle = -angle # Also flip the angle when we flip the axis\n", + " angle = angle + 2 * math.pi if angle < 0 else angle # Keep angle positive\n", + "\n", + " return axis, angle\n", + "\n", + "\n", + "def calculate_axis_euler_angles(axis: torch.Tensor) -> tuple[float, float]:\n", + " \"\"\"Calculate Euler angles (ZYZ) that for the rotation axis.\n", + "\n", + " Attributes\n", + " ----------\n", + " axis: torch.Tensor\n", + " The rotation axis.\n", + "\n", + " Returns\n", + " -------\n", + " tuple[float, float]\n", + " The Euler angles.\n", + " \"\"\"\n", + " # Z-axis unit vector\n", + " z_axis = torch.tensor([0.0, 0.0, 1.0], dtype=torch.float32)\n", + "\n", + " # Handle special cases\n", + " if torch.norm(axis - z_axis) < 1e-6:\n", + " return 0.0, 0.0 # Axis aligned with z-axis\n", + "\n", + " if torch.norm(axis + z_axis) < 1e-6:\n", + " return 0.0, 180.0 # Axis anti-aligned with z-axis\n", + "\n", + " # Calculate theta - angle from z-axis (polar angle)\n", + " cos_theta = torch.dot(axis, z_axis)\n", + " theta = torch.acos(torch.clamp(cos_theta, -1.0, 1.0)) * 180 / math.pi\n", + "\n", + " # Calculate phi - angle in xy plane (azimuthal angle)\n", + " phi = torch.atan2(axis[1], axis[0]) * 180 / math.pi\n", + " if phi < 0:\n", + " phi += 360.0 # Convert to 0-360 range\n", + "\n", + " return phi, theta\n", + "\n", + "\n", + "def main() -> None:\n", + " \"\"\"Calculate rotation axis for a pair of PDB structures.\"\"\"\n", + " if len(sys.argv) != 4:\n", + " print(f\"Usage: {sys.argv[0]} \")\n", + " sys.exit(1)\n", + "\n", + " pdb_file1 = sys.argv[1]\n", + " pdb_file2 = sys.argv[2]\n", + " output_file = sys.argv[3]\n", + "\n", + " # Parse PDB files\n", + " df1 = mmdf.read(pdb_file1)\n", + " df2 = mmdf.read(pdb_file2)\n", + "\n", + " # Extract coordinates\n", + " coords1 = torch.tensor(df1[[\"x\", \"y\", \"z\"]].values, dtype=torch.float32)\n", + " coords2 = torch.tensor(df2[[\"x\", \"y\", \"z\"]].values, dtype=torch.float32)\n", + "\n", + " # Center coordinates\n", + " centroid1 = coords1.mean(dim=0)\n", + " centroid2 = coords2.mean(dim=0)\n", + " coords1_centered = coords1 - centroid1\n", + " coords2_centered = coords2 - centroid2\n", + "\n", + " # Calculate rotation matrix\n", + " # rotation_matrix = calculate_rotation_matrix(coords1_centered, coords2_centered)\n", + " rotation_matrix, _ = roma.rigid_points_registration(\n", + " coords1_centered, coords2_centered\n", + " )\n", + " # Extract rotation axis and angle\n", + " rotation_axis, rotation_angle = extract_rotation_axis_angle(rotation_matrix)\n", + "\n", + " # Calculate Euler angles for the rotation axis\n", + " phi, theta = calculate_axis_euler_angles(rotation_axis)\n", + "\n", + " # Output results\n", + " angle_degrees = float(rotation_angle) * 180 / math.pi\n", + "\n", + " print(\"\\nRotation Analysis Results:\")\n", + " print(\n", + " f\"Rotation Axis: [{rotation_axis[0]:.6f}, \"\n", + " f\"{rotation_axis[1]:.6f}, {rotation_axis[2]:.6f}]\"\n", + " )\n", + " print(f\"Rotation Angle: {angle_degrees:.2f} degrees\")\n", + "\n", + " print(\"\\nEuler Angles of the rotation axis (ZYZ convention):\")\n", + " print(f\" Phi: {phi:.2f} degrees (range 0-360)\")\n", + " print(f\" Theta: {theta:.2f} degrees (range 0-180)\")\n", + "\n", + " # Write results to output file\n", + " with open(output_file, \"w\", encoding=\"utf-8\") as f:\n", + " f.write(\"# PDB Rotation Analysis Results\\n\\n\")\n", + " f.write(f\"Source PDB: {pdb_file1}\\n\")\n", + " f.write(f\"Target PDB: {pdb_file2}\\n\")\n", + " f.write(f\"Number of atoms: {len(df1)}\\n\\n\")\n", + "\n", + " f.write(\"## Rotation Parameters\\n\")\n", + " f.write(\n", + " f\"Axis: {rotation_axis[0]:.6f} \"\n", + " f\"{rotation_axis[1]:.6f} {rotation_axis[2]:.6f}\\n\"\n", + " )\n", + " f.write(f\"Angle: {angle_degrees:.6f} degrees\\n\\n\")\n", + "\n", + " f.write(\"## Axis Orientation Angles (for constrained search config)\\n\")\n", + " f.write(f\"rotation_axis_euler_angles: [{phi:.2f}, {theta:.2f}, 0.0]\\n\\n\")\n", + "\n", + " f.write(\"## Example constrained search config\\n\")\n", + " f.write(\"orientation_refinement_config:\\n\")\n", + " f.write(\" enabled: true\\n\")\n", + " f.write(\" out_of_plane_step: 1.0 # Step size around the rotation axis\\n\")\n", + " f.write(\" in_plane_step: 0.5 # Step size for fine adjustment angles\\n\")\n", + " f.write(f\" rotation_axis_euler_angles: [{phi:.2f}, {theta:.2f}, 0.0]\\n\")\n", + " suggested_range = min(30.0, max(10.0, angle_degrees / 2))\n", + " f.write(\n", + " f\" phi_min: -{suggested_range:.1f} # Search range for around the axis\\n\"\n", + " )\n", + " f.write(f\" phi_max: {suggested_range:.1f}\\n\")\n", + " f.write(\n", + " \" theta_min: -2.0 # Small adjustments perpendicular to axis (optional)\\n\"\n", + " )\n", + " f.write(\" theta_max: 2.0\\n\")\n", + " f.write(\" psi_min: -2.0 # Small in-plane adjustments (optional)\\n\")\n", + " f.write(\" psi_max: 2.0\\n\")\n", + "\n", + " print(f\"Rotation analysis written to: {output_file}\")\n", + " print(\"\\nFor your constrained search config.yaml:\")\n", + " print(f\"rotation_axis_euler_angles: [{phi:.2f}, {theta:.2f}, 0.0]\")\n", + "\n", + "\n", + "if __name__ == \"__main__\":\n", + " main()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This tells us the rotation matrix that we apply to align the rotation axis with the Z axis. This makes it very simple to search over just the phi/psi range." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As well as constrainig the angles. We also don't need to do the defocus search. The program uses the defocus and orientation of the 60S to work out the height of the 40S. For this, it needs to know the offset between the two subunits in the default orientation. We have a helper script for this.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "File 1: models/60S_aligned_aligned_zero.pdb - 123149 atoms\n", + "File 2: models/6q8y_SSU_no_head_aligned_aligned_zero.pdb - 42279 atoms\n", + "\n", + "Initial Analysis:\n", + "Vector from PDB1 to PDB2: [88.023109, 52.080261, 45.528008]\n", + "Vector Euler angles (ZYZ): Phi=105.92°, Theta=59.35°, Psi=-135.31°\n", + "Z-height difference (defocus): 45.53 Angstroms above\n", + "\n", + "Defocus changes for different rotations:\n", + "Rotation #1 - Euler(0.00°, 0.00°, 0.00°): Defocus = 45.53 Angstroms above\n", + "Rotation #2 - Euler(-65.06°, 19.19°, -116.30°): Defocus = 40.47 Angstroms above\n", + "Rotation #3 - Euler(128.28°, 63.14°, 132.89°): Defocus = 108.05 Angstroms above\n", + "Rotation #4 - Euler(-35.89°, 149.83°, 167.58°): Defocus = 9.47 Angstroms above\n", + "Rotation #5 - Euler(133.97°, 62.58°, 42.27°): Defocus = 5.76 Angstroms below\n", + "\n", + "Analysis results written to results/output_centre_vector.txt\n" + ] + } + ], + "source": [ + "import argparse\n", + "\n", + "import torch\n", + "\n", + "sys.argv = [\n", + " \"get_centre_vector.py\",\n", + " \"models/60S_aligned_aligned_zero.pdb\",\n", + " \"models/6q8y_SSU_no_head_aligned_aligned_zero.pdb\",\n", + " \"--num-rotations\",\n", + " \"5\",\n", + " \"--output-file\",\n", + " \"results/output_centre_vector.txt\",\n", + "]\n", + "\n", + "\n", + "def calculate_mean_position(df: pd.DataFrame) -> torch.Tensor:\n", + " \"\"\"\n", + " Calculate the mean position of a PDB structure.\n", + "\n", + " Attributes\n", + " ----------\n", + " df: pd.DataFrame\n", + " The mmdf DataFrame with the PDB structure.\n", + "\n", + " Returns\n", + " -------\n", + " torch.Tensor\n", + " The mean position as a 3D vector [x, y, z].\n", + " \"\"\"\n", + " # Extract coordinates and calculate mean\n", + " coords = torch.tensor(df[[\"x\", \"y\", \"z\"]].values, dtype=torch.float32)\n", + " mean_pos = coords.mean(dim=0)\n", + "\n", + " return mean_pos\n", + "\n", + "\n", + "def rotate_vector(vector: torch.Tensor, rotation_matrix: torch.Tensor) -> torch.Tensor:\n", + " \"\"\"\n", + " Rotate a vector using a rotation matrix.\n", + "\n", + " Attributes\n", + " ----------\n", + " vector: torch.Tensor\n", + " The vector to rotate.\n", + " rotation_matrix: torch.Tensor\n", + " The rotation matrix to use.\n", + "\n", + " Returns\n", + " -------\n", + " Rotated vector\n", + " \"\"\"\n", + " # Convert to tensor if not already\n", + " if not isinstance(vector, torch.Tensor):\n", + " vector = torch.tensor(vector, dtype=torch.float32)\n", + "\n", + " # Ensure matching types between rotation_matrix and vector\n", + " if rotation_matrix.dtype != vector.dtype:\n", + " rotation_matrix = rotation_matrix.to(dtype=vector.dtype)\n", + "\n", + " # Apply rotation\n", + " rotated_vector = rotation_matrix @ vector\n", + "\n", + " return rotated_vector\n", + "\n", + "\n", + "def setup_argparse() -> argparse.Namespace:\n", + " \"\"\"\n", + " Set up and parse command line arguments.\n", + "\n", + " Returns\n", + " -------\n", + " argparse.Namespace\n", + " Parsed command line arguments\n", + " \"\"\"\n", + " parser = argparse.ArgumentParser(\n", + " description=\"Calculate vector between PDB structures\"\n", + " )\n", + " parser.add_argument(\"pdb_file1\", help=\"PDB file of larger structure\")\n", + " parser.add_argument(\"pdb_file2\", help=\"PDB file of smaller structure\")\n", + " parser.add_argument(\n", + " \"--num-rotations\",\n", + " type=int,\n", + " default=5,\n", + " help=\"Number of random rotations to test\",\n", + " )\n", + " parser.add_argument(\n", + " \"--output-file\", default=\"defocus_analysis.txt\", help=\"Output analysis file\"\n", + " )\n", + " return parser.parse_args()\n", + "\n", + "\n", + "def calculate_relative_vectors(pdb_file1: str, pdb_file2: str) -> dict:\n", + " \"\"\"\n", + " Calculate the relative position and orientation vectors between two PDB structures.\n", + "\n", + " Parameters\n", + " ----------\n", + " pdb_file1 : str\n", + " Path to the first PDB file\n", + " pdb_file2 : str\n", + " Path to the second PDB file\n", + "\n", + " Returns\n", + " -------\n", + " dict\n", + " Dictionary containing relative vector data including:\n", + " - df1, df2: DataFrames for both PDB files\n", + " - vector: Vector from PDB1 to PDB2\n", + " - euler_angles: Phi, Theta, Psi angles\n", + " - z_diff: Z height difference\n", + " - defocus_description: Human-readable defocus description\n", + " \"\"\"\n", + " # Parse PDB files using mmdf\n", + " df1 = mmdf.read(pdb_file1)\n", + " df2 = mmdf.read(pdb_file2)\n", + "\n", + " print(f\"File 1: {pdb_file1} - {len(df1)} atoms\")\n", + " print(f\"File 2: {pdb_file2} - {len(df2)} atoms\")\n", + "\n", + " # Calculate mean positions at default orientation (0,0,0)\n", + " mean_pos1 = calculate_mean_position(df1)\n", + " mean_pos2 = calculate_mean_position(df2)\n", + "\n", + " # Calculate vector from PDB1 to PDB2\n", + " vector = mean_pos2 - mean_pos1\n", + "\n", + " # Convert vector to Euler angles\n", + " phi, theta, psi = roma.rotvec_to_euler(\n", + " convention=\"ZYZ\", rotvec=vector, degrees=True, as_tuple=True\n", + " )\n", + "\n", + " # Calculate Z-height difference (defocus)\n", + " z_diff = vector[2].item()\n", + " defocus_description = (\n", + " f\"{abs(z_diff):.2f} Angstroms {'below' if z_diff < 0 else 'above'}\"\n", + " )\n", + "\n", + " # Print initial results\n", + " print(\"\\nInitial Analysis:\")\n", + " print(\n", + " f\"Vector from PDB1 to PDB2: [{vector[0]:.6f}, {vector[1]:.6f}, {vector[2]:.6f}]\"\n", + " )\n", + " print(\n", + " f\"Vector Euler angles (ZYZ): Phi={phi:.2f}°, Theta={theta:.2f}°, Psi={psi:.2f}°\"\n", + " )\n", + " print(f\"Z-height difference (defocus): {defocus_description}\")\n", + "\n", + " return {\n", + " \"df1\": df1,\n", + " \"df2\": df2,\n", + " \"vector\": vector,\n", + " \"euler_angles\": (phi, theta, psi),\n", + " \"z_diff\": z_diff,\n", + " \"defocus_description\": defocus_description,\n", + " }\n", + "\n", + "\n", + "def generate_rotation_samples(num_rotations: int) -> torch.Tensor:\n", + " \"\"\"\n", + " Generate a set of random rotations for testing.\n", + "\n", + " Parameters\n", + " ----------\n", + " num_rotations : int\n", + " Number of random rotations to generate\n", + "\n", + " Returns\n", + " -------\n", + " torch.Tensor\n", + " Tensor containing rotation angles (Euler ZYZ convention)\n", + " \"\"\"\n", + " # Generate random Euler angles for testing\n", + " if num_rotations > 1:\n", + " # Generate all random angles with a single call\n", + " random_rotations = np.random.uniform(-180, 180, size=(num_rotations - 1, 3))\n", + " # Adjust theta values to be between 0 and 180\n", + " random_rotations[:, 1] = np.abs(random_rotations[:, 1]) % 180\n", + " # Start with default orientation [0,0,0] and concatenate random rotations\n", + " rotations = np.vstack(([0.0, 0.0, 0.0], random_rotations))\n", + " else:\n", + " # Just use the default orientation if num_rotations is 1\n", + " rotations = np.array([[0.0, 0.0, 0.0]])\n", + "\n", + " # Convert to tensor for batch processing\n", + " return torch.tensor(rotations, dtype=torch.float32)\n", + "\n", + "\n", + "def process_rotations(vector: torch.Tensor, rotations_tensor: torch.Tensor) -> list:\n", + " \"\"\"\n", + " Process each rotation and calculate the resulting defocus.\n", + "\n", + " Parameters\n", + " ----------\n", + " vector : torch.Tensor\n", + " The original vector between structures\n", + " rotations_tensor : torch.Tensor\n", + " Tensor containing rotation angles to test\n", + "\n", + " Returns\n", + " -------\n", + " list\n", + " List of dictionaries with defocus results for each rotation\n", + " \"\"\"\n", + " print(\"\\nDefocus changes for different rotations:\")\n", + " defocus_results = []\n", + "\n", + " for i, euler in enumerate(rotations_tensor):\n", + " # Convert degrees to radians using np.deg2rad\n", + " phi_rad, theta_rad, psi_rad = (np.deg2rad(angle.item()) for angle in euler)\n", + "\n", + " # Create rotation matrix using RoMA (ZYZ intrinsic convention)\n", + " euler_angles = torch.tensor([phi_rad, theta_rad, psi_rad])\n", + " rotation_matrix = roma.rotvec_to_rotmat(\n", + " roma.euler_to_rotvec(convention=\"ZYZ\", angles=euler_angles)\n", + " )\n", + "\n", + " # Rotate the vector\n", + " rotated_vector = rotate_vector(vector, rotation_matrix)\n", + "\n", + " # Extract new z-component (defocus)\n", + " new_z_diff = rotated_vector[2].item()\n", + " new_defocus = (\n", + " f\"{abs(new_z_diff):.2f} Angstroms {'below' if new_z_diff < 0 else 'above'}\"\n", + " )\n", + "\n", + " print(\n", + " f\"Rotation #{i+1} - Euler({euler[0]:.2f}°, {euler[1]:.2f}°, \"\n", + " f\"{euler[2]:.2f}°): Defocus = {new_defocus}\"\n", + " )\n", + "\n", + " defocus_results.append(\n", + " {\n", + " \"rotation\": i + 1,\n", + " \"euler_angles\": [e.item() for e in euler],\n", + " \"defocus\": new_z_diff,\n", + " \"description\": new_defocus,\n", + " }\n", + " )\n", + "\n", + " return defocus_results\n", + "\n", + "\n", + "def write_results_to_file(\n", + " output_file: str,\n", + " pdb_file1: str,\n", + " pdb_file2: str,\n", + " vector_data: dict,\n", + " defocus_results: list,\n", + ") -> None:\n", + " \"\"\"\n", + " Write analysis results to output file.\n", + "\n", + " Parameters\n", + " ----------\n", + " output_file : str\n", + " Path to output file\n", + " pdb_file1 : str\n", + " Path to first PDB file\n", + " pdb_file2 : str\n", + " Path to second PDB file\n", + " vector_data : dict\n", + " Dictionary with vector data from calculate_relative_vectors\n", + " defocus_results : list\n", + " List of defocus results from process_rotations\n", + " \"\"\"\n", + " vector = vector_data[\"vector\"]\n", + " phi, theta, psi = vector_data[\"euler_angles\"]\n", + " defocus_description = vector_data[\"defocus_description\"]\n", + "\n", + " with open(output_file, \"w\") as f:\n", + " f.write(\"# PDB Vector and Defocus Analysis\\n\\n\")\n", + " f.write(f\"Source PDB 1: {pdb_file1}\\n\")\n", + " f.write(f\"Source PDB 2: {pdb_file2}\\n\\n\")\n", + "\n", + " f.write(\"## Initial Vector Analysis\\n\")\n", + " f.write(\n", + " f\"Vector PDB1-PDB2: [{vector[0]:.6f}, {vector[1]:.6f}, {vector[2]:.6f}]\\n\"\n", + " )\n", + " f.write(\n", + " f\"Vector Eulers (ZYZ): Phi={phi:.2f}°, Theta={theta:.2f}°, Psi={psi:.2f}°\\n\"\n", + " )\n", + " f.write(f\"Z-height difference (defocus): {defocus_description}\\n\\n\")\n", + "\n", + " f.write(\"## Defocus changes for different rotations\\n\")\n", + " for result in defocus_results:\n", + " euler = result[\"euler_angles\"]\n", + " f.write(\n", + " f\"Rotation #{result['rotation']} - \"\n", + " f\"Euler({euler[0]:.2f}°, {euler[1]:.2f}°, {euler[2]:.2f}°): \"\n", + " )\n", + " f.write(f\"Defocus = {result['description']}\\n\")\n", + "\n", + " print(f\"\\nAnalysis results written to {output_file}\")\n", + "\n", + "\n", + "def main() -> None:\n", + " \"\"\"Main function to calculate the center vector between two PDB structures.\"\"\"\n", + " # Setup argparse\n", + " args = setup_argparse()\n", + "\n", + " # Calculate relative position and orientation vectors\n", + " vector_data = calculate_relative_vectors(args.pdb_file1, args.pdb_file2)\n", + "\n", + " # Generate random rotation samples\n", + " rotations_tensor = generate_rotation_samples(args.num_rotations)\n", + "\n", + " # Process each rotation and collect results\n", + " defocus_results = process_rotations(vector_data[\"vector\"], rotations_tensor)\n", + "\n", + " # Write results to file\n", + " write_results_to_file(\n", + " args.output_file, args.pdb_file1, args.pdb_file2, vector_data, defocus_results\n", + " )\n", + "\n", + "\n", + "if __name__ == \"__main__\":\n", + " main()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Key Parameters for Constrained Search\n", + "\n", + "From our analysis, we have determined two critical parameters:\n", + "\n", + "1. **Rotation axis Euler angles**: `[76.20, 60.02, 0.0]` - defines the axis around which 40S rotates\n", + "2. **Center vector**: `[88.023109, 52.080261, 45.528008]` - offset between 60S and 40S centers\n", + "\n", + "### Multi-Step Search Strategy\n", + "\n", + "**Core Challenge**: Balance between limiting cross-correlations (to reduce noise) and increasing SNR (with finer sampling).\n", + "\n", + "**Solution**: Multi-step approach with progressively finer angular sampling:\n", + "\n", + "**Step 1**: Coarse search around Z-axis (1° steps)\n", + "- Search around the rotation axis using 1-degree angular steps\n", + "- Constrain spatial search to 9×9 pixel grid around predicted 40S locations \n", + "- Uses `psi` angle range (could alternatively use `phi` with cartesian grid sampling)\n", + "\n", + "**Step 2**: Orthogonal axis refinement\n", + "- Search along perpendicular axis for additional degrees of freedom\n", + "- Uses default y-axis `[0,1,0]` as roll axis (could be optimized if significant rotation expected)\n", + "\n", + "**Step 3-4**: Progressive refinement\n", + "- Successively finer angular sampling\n", + "- Include defocus search in final step for optimal particle positioning\n", + "\n", + "**Why multi-step**: Each iteration accumulates more cross-correlations (raising noise floor) but also increases SNR. This progressive maximizes the benefit.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "```yaml\n", + "###################################################\n", + "#### Constrained Search configuration example #####\n", + "###################################################\n", + "# An example YAML configuration to modify.\n", + "# Call `ConstrainedSearchManager.from_yaml(path)` to load this configuration.\n", + "template_volume_path: maps/SSU-body_map_px0.936_bscale0.5.mrc # Volume of small particle\n", + "particle_stack_reference: # This is from the large particles\n", + " df_path: results/results_refine_template_60S.csv # Needs to be readable by pandas\n", + " extracted_box_size: [520, 520]\n", + " original_template_size: [512, 512]\n", + "particle_stack_constrained: # This is from the small particles\n", + " df_path: results/results_match_template_40S.csv # Needs to be readable by pandas\n", + " extracted_box_size: [520, 520]\n", + " original_template_size: [512, 512]\n", + "centre_vector: [88.023109, 52.080261, 45.528008] # Vector from large particle to small particle in Angstroms\n", + "orientation_refinement_config:\n", + " enabled: true\n", + " base_grid_method: uniform \n", + " psi_step: 1.0 # psi in degrees\n", + " theta_step: 1.0 # theta and phi in degrees\n", + " rotation_axis_euler_angles: [76.2, 60.02, 0.0] # This is the rotation axis\n", + " phi_min: 0.0\n", + " phi_max: 0.0\n", + " theta_min: 0.0\n", + " theta_max: 0.0\n", + " psi_min: -13.0\n", + " psi_max: 2.5\n", + " search_roll_axis: false\n", + " roll_axis: [0.0,1.0] # [x,y] This defines the roll axis (orthogonal to the rotation axis). None means search\n", + " roll_step: 2.0 \n", + "defocus_search_config:\n", + " enabled: false\n", + " defocus_max: 100.0 # in Angstroms, relative to \"best\" defocus value in particle stack dataframe\n", + " defocus_min: -100.0 # in Angstroms, relative to \"best\" defocus value in particle stack dataframe\n", + " defocus_step: 20.0 # in Angstroms\n", + "preprocessing_filters:\n", + " whitening_filter:\n", + " do_power_spectrum: true\n", + " enabled: true\n", + " max_freq: 1.0 # In terms of Nyquist frequency\n", + " num_freq_bins: null\n", + " bandpass_filter:\n", + " enabled: false\n", + " falloff: null\n", + " high_freq_cutoff: null\n", + " low_freq_cutoff: null\n", + "computational_config:\n", + " gpu_ids: 0\n", + " num_cpus: 2\n", + "\n", + "```" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from IPython.display import Markdown, display\n", + "\n", + "# Read the YAML file\n", + "with open(\"configs/constrained_config_step1.yaml\") as file:\n", + " yaml_content = file.read()\n", + "\n", + "# Display as markdown code block\n", + "display(Markdown(f\"```yaml\\n{yaml_content}\\n```\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from leopard_em.pydantic_models.managers import ConstrainedSearchManager\n", + "\n", + "YAML_CONFIG_PATH = \"configs/constrained_config_step1.yaml\"\n", + "\n", + "# Path to where the dataframe with refined peak parameters will be output.\n", + "DATAFRAME_OUTPUT_PATH = \"results/constrained_search_results_step1.csv\"\n", + "\n", + "\n", + "PARTICLE_BATCH_SIZE = 64\n", + "FALSE_POSITIVES = 0.005 # False positives per particle\n", + "\n", + "###############################################################\n", + "### Main function called to run the refine template program ###\n", + "###############################################################\n", + "\n", + "\n", + "def main() -> None:\n", + " \"\"\"Main function for running the refine template program.\"\"\"\n", + " cs_manager = ConstrainedSearchManager.from_yaml(YAML_CONFIG_PATH)\n", + "\n", + " print(\"Loaded configuration.\")\n", + " print(\"Running refine template...\")\n", + "\n", + " start_time = time.time()\n", + "\n", + " cs_manager.run_constrained_search(\n", + " output_dataframe_path=DATAFRAME_OUTPUT_PATH,\n", + " false_positives=FALSE_POSITIVES,\n", + " orientation_batch_size=PARTICLE_BATCH_SIZE,\n", + " )\n", + "\n", + " print(\"Finished core call.\")\n", + "\n", + " # Print the wall time of the search in HH:MM:SS\n", + " end_time = time.time()\n", + " elapsed_time = end_time - start_time\n", + " elapsed_time_str = time.strftime(\"%H:%M:%S\", time.gmtime(elapsed_time))\n", + " print(f\"Wall time: {elapsed_time_str}\")\n", + "\n", + " print(\"Done!\")\n", + "\n", + "\n", + "# NOTE: Invoking program under `if __name__ == \"__main__\"` necessary for multiprocesing\n", + "if __name__ == \"__main__\":\n", + " main()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We have increased are number of picks by over an order of magnitude, from 16 to 262.\n", + "There may also be a further benefit to searching over an orthogonal axis.\n", + "Instead of doing this together with the search over the Z axis, we will do this in 2 steps, which can reduce the total number of cross correlations.\n", + "We can define the direction of this orthogonal axis using the roll_axis parameter (default is y axis [0,1]).If this is a significant rotation, we could perform a search (search_roll_axis) to determine which axis to search over. We expect this to be small. so will just use the default axis.\n", + "\n", + "We will also set the center vector to 0,0,0, since we are now using the 40S as the reference particles." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "```yaml\n", + "###################################################\n", + "#### Constrained Search configuration example #####\n", + "###################################################\n", + "# An example YAML configuration to modify.\n", + "# Call `ConstrainedSearchManager.from_yaml(path)` to load this configuration.\n", + "template_volume_path: maps/SSU-body_map_px0.936_bscale0.5.mrc # Volume of small particle\n", + "particle_stack_reference: # This is from the large particles\n", + " df_path: results/constrained_search_results_step1.csv # Needs to be readable by pandas\n", + " extracted_box_size: [520, 520]\n", + " original_template_size: [512, 512]\n", + "particle_stack_constrained: # This is from the small particles\n", + " df_path: results/results_match_template_40S.csv # Needs to be readable by pandas\n", + " extracted_box_size: [520, 520]\n", + " original_template_size: [512, 512]\n", + "center_vector: [0.0, 0.0, 0.0] # Vector from large particle to small particle in Angstroms\n", + "orientation_refinement_config:\n", + " enabled: true\n", + " base_grid_method: uniform \n", + " psi_step: 1.0 # psi in degrees\n", + " theta_step: 1.0 # theta and phi in degrees\n", + " rotation_axis_euler_angles: [76.2, 60.02, 0.0] # This is the rotation axis\n", + " phi_min: 0.0\n", + " phi_max: 0.0\n", + " theta_min: -6.0\n", + " theta_max: 4.0\n", + " psi_min: 0.0\n", + " psi_max: 0.0\n", + " search_roll_axis: false\n", + " roll_axis: [0.0,1.0] # [x,y] This defines the roll axis (orthogonal to the rotation axis). None means search\n", + " roll_step: 2.0 \n", + "defocus_refinement_config:\n", + " enabled: false\n", + " defocus_max: 100.0 # in Angstroms, relative to \"best\" defocus value in particle stack dataframe\n", + " defocus_min: -100.0 # in Angstroms, relative to \"best\" defocus value in particle stack dataframe\n", + " defocus_step: 20.0 # in Angstroms\n", + "preprocessing_filters:\n", + " whitening_filter:\n", + " do_power_spectrum: true\n", + " enabled: true\n", + " max_freq: 1.0 # In terms of Nyquist frequency\n", + " num_freq_bins: null\n", + " bandpass_filter:\n", + " enabled: false\n", + " falloff: null\n", + " high_freq_cutoff: null\n", + " low_freq_cutoff: null\n", + "computational_config:\n", + " gpu_ids: 0\n", + " num_cpus: 2\n", + "\n", + "```" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from IPython.display import Markdown, display\n", + "\n", + "# Read the YAML file\n", + "with open(\"configs/constrained_config_step2.yaml\") as file:\n", + " yaml_content = file.read()\n", + "\n", + "# Display as markdown code block\n", + "display(Markdown(f\"```yaml\\n{yaml_content}\\n```\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#######################################\n", + "### Editable parameters for program ###\n", + "#######################################\n", + "\n", + "# Edit your YAML file to configure the refine template program.\n", + "# Needs to reference the outputs from a match template run.\n", + "# See online documentation for more information on editing this file.\n", + "YAML_CONFIG_PATH = \"configs/constrained_config_step2.yaml\"\n", + "\n", + "# Path to where the dataframe with refined peak parameters will be output.\n", + "DATAFRAME_OUTPUT_PATH = \"results/constrained_search_results_step2.csv\"\n", + "\n", + "# Number of particles to refine simultaneously. Will need to tune this parameter\n", + "# based on the memory & computational resources available.\n", + "PARTICLE_BATCH_SIZE = 64\n", + "FALSE_POSITIVES = 0.005 # False positives per particle\n", + "\n", + "###############################################################\n", + "### Main function called to run the refine template program ###\n", + "###############################################################\n", + "\n", + "\n", + "def main() -> None:\n", + " \"\"\"Main function for running the refine template program.\"\"\"\n", + " cs_manager = ConstrainedSearchManager.from_yaml(YAML_CONFIG_PATH)\n", + "\n", + " print(\"Loaded configuration.\")\n", + " print(\"Running refine template...\")\n", + "\n", + " start_time = time.time()\n", + "\n", + " cs_manager.run_constrained_search(\n", + " output_dataframe_path=DATAFRAME_OUTPUT_PATH,\n", + " false_positives=FALSE_POSITIVES,\n", + " orientation_batch_size=PARTICLE_BATCH_SIZE,\n", + " )\n", + "\n", + " print(\"Finished core call.\")\n", + "\n", + " # Print the wall time of the search in HH:MM:SS\n", + " end_time = time.time()\n", + " elapsed_time = end_time - start_time\n", + " elapsed_time_str = time.strftime(\"%H:%M:%S\", time.gmtime(elapsed_time))\n", + " print(f\"Wall time: {elapsed_time_str}\")\n", + "\n", + " print(\"Done!\")\n", + "\n", + "\n", + "# NOTE: Invoking program under `if __name__ == \"__main__\"` necessary for multiprocesing\n", + "if __name__ == \"__main__\":\n", + " main()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can now further refine these values, once again using the constrained search. At each iteration, we accumulate more cross-correlations so raise our noise floor, but also increase our SNR's. Therefore, in the process of improving our angular estimates, we may also locate a few extra particles at each iteration as well.\n", + "\n", + "We will perform two more successive constrained searches, each with a finer angular sampling." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "```yaml\n", + "###################################################\n", + "#### Constrained Search configuration example #####\n", + "###################################################\n", + "# An example YAML configuration to modify.\n", + "# Call `ConstrainedSearchManager.from_yaml(path)` to load this configuration.\n", + "template_volume_path: maps/SSU-body_map_px0.936_bscale0.5.mrc # Volume of small particle\n", + "particle_stack_reference: # This is from the large particles\n", + " df_path: results/constrained_search_results_step2.csv # Needs to be readable by pandas\n", + " extracted_box_size: [520, 520]\n", + " original_template_size: [512, 512]\n", + "particle_stack_constrained: # This is from the small particles\n", + " df_path: results/results_match_template_40S.csv # Needs to be readable by pandas\n", + " extracted_box_size: [520, 520]\n", + " original_template_size: [512, 512]\n", + "center_vector: [0.0, 0.0, 0.0] # Vector from large particle to small particle in Angstroms\n", + "orientation_refinement_config:\n", + " enabled: true\n", + " base_grid_method: uniform \n", + " psi_step: 0.5 # psi in degrees\n", + " theta_step: 0.5 # theta and phi in degrees\n", + " rotation_axis_euler_angles: [76.2, 60.02, 0.0] # This is the rotation axis\n", + " phi_min: 0.0\n", + " phi_max: 0.0\n", + " theta_min: -5.0\n", + " theta_max: 5.0\n", + " psi_min: -5.0\n", + " psi_max: 5.0\n", + " search_roll_axis: false\n", + " roll_axis: [0.0,1.0] # [x,y] This defines the roll axis (orthogonal to the rotation axis). None means search\n", + " roll_step: 2.0 \n", + "defocus_refinement_config:\n", + " enabled: false\n", + " defocus_max: 100.0 # in Angstroms, relative to \"best\" defocus value in particle stack dataframe\n", + " defocus_min: -100.0 # in Angstroms, relative to \"best\" defocus value in particle stack dataframe\n", + " defocus_step: 20.0 # in Angstroms\n", + "preprocessing_filters:\n", + " whitening_filter:\n", + " do_power_spectrum: true\n", + " enabled: true\n", + " max_freq: 1.0 # In terms of Nyquist frequency\n", + " num_freq_bins: null\n", + " bandpass_filter:\n", + " enabled: false\n", + " falloff: null\n", + " high_freq_cutoff: null\n", + " low_freq_cutoff: null\n", + "computational_config:\n", + " gpu_ids: 0\n", + " num_cpus: 2\n", + "\n", + "```" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from IPython.display import Markdown, display\n", + "\n", + "# Read the YAML file\n", + "with open(\"configs/constrained_config_step3.yaml\") as file:\n", + " yaml_content = file.read()\n", + "\n", + "# Display as markdown code block\n", + "display(Markdown(f\"```yaml\\n{yaml_content}\\n```\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#######################################\n", + "### Editable parameters for program ###\n", + "#######################################\n", + "\n", + "# Edit your YAML file to configure the refine template program.\n", + "# Needs to reference the outputs from a match template run.\n", + "# See online documentation for more information on editing this file.\n", + "YAML_CONFIG_PATH = \"configs/constrained_config_step3.yaml\"\n", + "\n", + "# Path to where the dataframe with refined peak parameters will be output.\n", + "DATAFRAME_OUTPUT_PATH = \"results/constrained_search_results_step3.csv\"\n", + "\n", + "# Number of particles to refine simultaneously. Will need to tune this parameter\n", + "# based on the memory & computational resources available.\n", + "PARTICLE_BATCH_SIZE = 64\n", + "FALSE_POSITIVES = 0.005 # False positives per particle\n", + "\n", + "###############################################################\n", + "### Main function called to run the refine template program ###\n", + "###############################################################\n", + "\n", + "\n", + "def main() -> None:\n", + " \"\"\"Main function for running the refine template program.\"\"\"\n", + " cs_manager = ConstrainedSearchManager.from_yaml(YAML_CONFIG_PATH)\n", + "\n", + " print(\"Loaded configuration.\")\n", + " print(\"Running refine template...\")\n", + "\n", + " start_time = time.time()\n", + "\n", + " cs_manager.run_constrained_search(\n", + " output_dataframe_path=DATAFRAME_OUTPUT_PATH,\n", + " false_positives=FALSE_POSITIVES,\n", + " orientation_batch_size=PARTICLE_BATCH_SIZE,\n", + " )\n", + "\n", + " print(\"Finished core call.\")\n", + "\n", + " # Print the wall time of the search in HH:MM:SS\n", + " end_time = time.time()\n", + " elapsed_time = end_time - start_time\n", + " elapsed_time_str = time.strftime(\"%H:%M:%S\", time.gmtime(elapsed_time))\n", + " print(f\"Wall time: {elapsed_time_str}\")\n", + "\n", + " print(\"Done!\")\n", + "\n", + "\n", + "# NOTE: Invoking program under `if __name__ == \"__main__\"` necessary for multiprocesing\n", + "if __name__ == \"__main__\":\n", + " main()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In the final step, we will also do a defocus search." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "```yaml\n", + "###################################################\n", + "#### Constrained Search configuration example #####\n", + "###################################################\n", + "# An example YAML configuration to modify.\n", + "# Call `ConstrainedSearchManager.from_yaml(path)` to load this configuration.\n", + "template_volume_path: maps/SSU-body_map_px0.936_bscale0.5.mrc # Volume of small particle\n", + "particle_stack_reference: # This is from the large particles\n", + " df_path: results/constrained_search_results_step3.csv # Needs to be readable by pandas\n", + " extracted_box_size: [520, 520]\n", + " original_template_size: [512, 512]\n", + "particle_stack_constrained: # This is from the small particles\n", + " df_path: results/results_match_template_40S.csv # Needs to be readable by pandas\n", + " extracted_box_size: [520, 520]\n", + " original_template_size: [512, 512]\n", + "center_vector: [0.0, 0.0, 0.0] # Vector from large particle to small particle in Angstroms\n", + "orientation_refinement_config:\n", + " enabled: true\n", + " base_grid_method: uniform \n", + " psi_step: 0.1 # psi in degrees\n", + " theta_step: 0.1 # theta and phi in degrees\n", + " rotation_axis_euler_angles: [76.2, 60.02, 0.0] # This is the rotation axis\n", + " phi_min: 0.0\n", + " phi_max: 0.0\n", + " theta_min: -0.5\n", + " theta_max: 0.5\n", + " psi_min: -0.5\n", + " psi_max: 0.5\n", + " search_roll_axis: false\n", + " roll_axis: [0.0,1.0] # [x,y] This defines the roll axis (orthogonal to the rotation axis). None means search\n", + " roll_step: 2.0 \n", + "defocus_refinement_config:\n", + " enabled: true\n", + " defocus_max: 100.0 # in Angstroms, relative to \"best\" defocus value in particle stack dataframe\n", + " defocus_min: -100.0 # in Angstroms, relative to \"best\" defocus value in particle stack dataframe\n", + " defocus_step: 20.0 # in Angstroms\n", + "preprocessing_filters:\n", + " whitening_filter:\n", + " do_power_spectrum: true\n", + " enabled: true\n", + " max_freq: 1.0 # In terms of Nyquist frequency\n", + " num_freq_bins: null\n", + " bandpass_filter:\n", + " enabled: false\n", + " falloff: null\n", + " high_freq_cutoff: null\n", + " low_freq_cutoff: null\n", + "computational_config:\n", + " gpu_ids: 0\n", + " num_cpus: 2\n", + "\n", + "```" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from IPython.display import Markdown, display\n", + "\n", + "# Read the YAML file\n", + "with open(\"configs/constrained_config_step4.yaml\") as file:\n", + " yaml_content = file.read()\n", + "\n", + "# Display as markdown code block\n", + "display(Markdown(f\"```yaml\\n{yaml_content}\\n```\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#######################################\n", + "### Editable parameters for program ###\n", + "#######################################\n", + "\n", + "# Edit your YAML file to configure the refine template program.\n", + "# Needs to reference the outputs from a match template run.\n", + "# See online documentation for more information on editing this file.\n", + "YAML_CONFIG_PATH = \"configs/constrained_config_step4.yaml\"\n", + "\n", + "# Path to where the dataframe with refined peak parameters will be output.\n", + "DATAFRAME_OUTPUT_PATH = \"results/constrained_search_results_step4.csv\"\n", + "\n", + "# Number of particles to refine simultaneously. Will need to tune this parameter\n", + "# based on the memory & computational resources available.\n", + "PARTICLE_BATCH_SIZE = 64\n", + "FALSE_POSITIVES = 0.005 # False positives per particle\n", + "\n", + "###############################################################\n", + "### Main function called to run the refine template program ###\n", + "###############################################################\n", + "\n", + "\n", + "def main() -> None:\n", + " \"\"\"Main function for running the refine template program.\"\"\"\n", + " cs_manager = ConstrainedSearchManager.from_yaml(YAML_CONFIG_PATH)\n", + "\n", + " print(\"Loaded configuration.\")\n", + " print(\"Running refine template...\")\n", + "\n", + " start_time = time.time()\n", + "\n", + " cs_manager.run_constrained_search(\n", + " output_dataframe_path=DATAFRAME_OUTPUT_PATH,\n", + " false_positives=FALSE_POSITIVES,\n", + " orientation_batch_size=PARTICLE_BATCH_SIZE,\n", + " )\n", + "\n", + " print(\"Finished core call.\")\n", + "\n", + " # Print the wall time of the search in HH:MM:SS\n", + " end_time = time.time()\n", + " elapsed_time = end_time - start_time\n", + " elapsed_time_str = time.strftime(\"%H:%M:%S\", time.gmtime(elapsed_time))\n", + " print(f\"Wall time: {elapsed_time_str}\")\n", + "\n", + " print(\"Done!\")\n", + "\n", + "\n", + "# NOTE: Invoking program under `if __name__ == \"__main__\"` necessary for multiprocesing\n", + "if __name__ == \"__main__\":\n", + " main()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We now must combine the results from the four steps in out constrained search.\n", + "We have a helper script to do this (in programs/constrained_search/utils/sequential_threshold_processing.py). The version below is modified to assume all results files are in the same directory.\n", + "This will sum up the number of correlations in each step, thus updating the threshold, and combine all unique particles from the 4 search steps." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Processing Step 1: results/constrained_search_results_step1.csv\n", + " Added 1296 correlations (total: 1296)\n", + " Threshold for step 1: 4.4729 (based on 1296 total correlations)\n", + " 239 of 405 particles above threshold (using refined_scaled_mip)\n", + " Saved 239 particles for step 1\n", + "\n", + "Processing Step 2: results/constrained_search_results_step2.csv\n", + " Added 891 correlations (total: 2187)\n", + " Threshold for step 2: 4.5835 (based on 2187 total correlations)\n", + " 270 of 405 particles above threshold (using refined_scaled_mip)\n", + " Saved 270 particles for step 2\n", + "\n", + "Processing Step 3: results/constrained_search_results_step3.csv\n", + " Added 34020 correlations (total: 36207)\n", + " Threshold for step 3: 5.1390 (based on 36207 total correlations)\n", + " 231 of 405 particles above threshold (using refined_scaled_mip)\n", + " Saved 231 particles for step 3\n", + "\n", + "Processing Step 4: results/constrained_search_results_step4.csv\n", + " Added 98010 correlations (total: 134217)\n", + " Threshold for step 4: 5.3800 (based on 134217 total correlations)\n", + " 202 of 405 particles above threshold (using refined_scaled_mip)\n", + " Saved 202 particles for step 4\n", + "\n", + "Processing complete. Final results saved to results/constrained_search_results_combined_final.csv\n", + "Total particles: 279\n" + ] + } + ], + "source": [ + "import argparse\n", + "import sys\n", + "\n", + "import pandas as pd\n", + "\n", + "sys.argv = [\n", + " \"sequential_threshold_processing.py\",\n", + " \"results/constrained_search_results_step1.csv\",\n", + " \"results/constrained_search_results_step2.csv\",\n", + " \"results/constrained_search_results_step3.csv\",\n", + " \"results/constrained_search_results_step4.csv\",\n", + " \"--output\",\n", + " \"results/constrained_search_results_combined\",\n", + "]\n", + "\n", + "\n", + "def load_parameters_file(params_file: str) -> int:\n", + " \"\"\"Load parameters file and extract correlation count.\n", + "\n", + " Parameters\n", + " ----------\n", + " params_file : str\n", + " Path to parameters file\n", + "\n", + " Returns\n", + " -------\n", + " int\n", + " Number of correlations found in parameters file\n", + "\n", + " Raises\n", + " ------\n", + " ValueError\n", + " If parameters file doesn't exist or doesn't contain correlation data\n", + " \"\"\"\n", + " if not os.path.exists(params_file):\n", + " raise ValueError(f\"Parameters file {params_file} does not exist\")\n", + "\n", + " params_df = pd.read_csv(params_file)\n", + " if params_df.empty or \"num_correlations\" not in params_df.columns:\n", + " raise ValueError(\n", + " f\"Parameters file {params_file} is empty or missing correlation data\"\n", + " )\n", + "\n", + " return int(params_df.iloc[0][\"num_correlations\"])\n", + "\n", + "\n", + "def process_results_file(\n", + " input_file: str,\n", + " threshold: float,\n", + " step_num: int,\n", + ") -> pd.DataFrame:\n", + " \"\"\"Process a single results file and filter particles above threshold.\n", + "\n", + " Parameters\n", + " ----------\n", + " input_file : str\n", + " Path to results file\n", + " threshold : float\n", + " Threshold to filter particles\n", + " step_num : int\n", + " Current step number\n", + "\n", + " Returns\n", + " -------\n", + " pd.DataFrame\n", + " DataFrame of particles above threshold\n", + "\n", + " Raises\n", + " ------\n", + " ValueError\n", + " If results file is empty or missing required columns\n", + " \"\"\"\n", + " results_df = pd.read_csv(input_file)\n", + " if results_df.empty:\n", + " raise ValueError(f\"Empty results file {input_file}\")\n", + "\n", + " # Determine which column to use for comparison\n", + " compare_col = (\n", + " \"refined_scaled_mip\"\n", + " if \"refined_scaled_mip\" in results_df.columns\n", + " else \"scaled_mip\"\n", + " )\n", + " if compare_col != \"refined_scaled_mip\":\n", + " print(\n", + " f\" Warning: refined_scaled_mip column not found in {input_file}, \"\n", + " f\"using mip instead\"\n", + " )\n", + "\n", + " # Filter particles above threshold\n", + " above_threshold_df = results_df[results_df[compare_col] > threshold].copy()\n", + " if above_threshold_df.empty:\n", + " raise ValueError(f\"No particles above threshold in {input_file}\")\n", + "\n", + " # Add step column\n", + " above_threshold_df[\"step\"] = step_num\n", + " print(\n", + " f\" {len(above_threshold_df)} of {len(results_df)} \"\n", + " f\" particles above threshold (using {compare_col})\"\n", + " )\n", + "\n", + " return above_threshold_df\n", + "\n", + "\n", + "def update_particle_data(\n", + " all_particles: pd.DataFrame,\n", + " new_particles: pd.DataFrame,\n", + " step_num: int,\n", + ") -> pd.DataFrame:\n", + " \"\"\"Update particle data with new results.\n", + "\n", + " Parameters\n", + " ----------\n", + " all_particles : pd.DataFrame\n", + " Existing particles data\n", + " new_particles : pd.DataFrame\n", + " New particles to add/update\n", + " step_num : int\n", + " Current step number\n", + "\n", + " Returns\n", + " -------\n", + " pd.DataFrame\n", + " Updated particles data\n", + " \"\"\"\n", + " if all_particles.empty:\n", + " return new_particles\n", + "\n", + " updated_df = all_particles.copy()\n", + "\n", + " for _, particle in new_particles.iterrows():\n", + " particle_idx = particle[\"particle_index\"]\n", + " existing_particle = updated_df[updated_df[\"particle_index\"] == particle_idx]\n", + "\n", + " if len(existing_particle) > 0:\n", + " # Update existing particle\n", + " idx_to_update = updated_df.index[\n", + " updated_df[\"particle_index\"] == particle_idx\n", + " ].tolist()[0]\n", + "\n", + " # Handle offset columns\n", + " offset_cols = [\n", + " \"original_offset_phi\",\n", + " \"original_offset_theta\",\n", + " \"original_offset_psi\",\n", + " ]\n", + " for col in offset_cols:\n", + " if col not in updated_df.columns:\n", + " updated_df[col] = 0.0\n", + " if col in particle and pd.notna(particle[col]):\n", + " updated_df.at[idx_to_update, col] += particle[col]\n", + "\n", + " # Update other parameters\n", + " for col in particle.index:\n", + " if col not in offset_cols and pd.notna(particle[col]):\n", + " updated_df.at[idx_to_update, col] = particle[col]\n", + "\n", + " updated_df.at[idx_to_update, \"step\"] = step_num\n", + " else:\n", + " # Add new particle\n", + " updated_df = pd.concat(\n", + " [updated_df, pd.DataFrame([particle])], ignore_index=True\n", + " )\n", + "\n", + " return updated_df\n", + "\n", + "\n", + "def save_step_results(\n", + " all_particles: pd.DataFrame,\n", + " step_num: int,\n", + " output_basename: str,\n", + ") -> None:\n", + " \"\"\"Save results for the current step.\n", + "\n", + " Parameters\n", + " ----------\n", + " all_particles : pd.DataFrame\n", + " All particles data\n", + " step_num : int\n", + " Current step number\n", + " output_basename : str\n", + " Base name for output files\n", + " \"\"\"\n", + " step_particles = all_particles[all_particles[\"step\"] == step_num]\n", + " if not step_particles.empty:\n", + " output_file = f\"{output_basename}_step{step_num}.csv\"\n", + " step_particles.to_csv(output_file, index=False)\n", + " print(f\" Saved {len(step_particles)} particles for step {step_num}\")\n", + "\n", + "\n", + "def save_final_results(\n", + " all_particles: pd.DataFrame,\n", + " total_correlations: int,\n", + " threshold: float,\n", + " output_basename: str,\n", + ") -> None:\n", + " \"\"\"Save final results and summary.\n", + "\n", + " Parameters\n", + " ----------\n", + " all_particles : pd.DataFrame\n", + " All particles data\n", + " total_correlations : int\n", + " Total number of correlations\n", + " threshold : float\n", + " Final threshold used\n", + " output_basename : str\n", + " Base name for output files\n", + " \"\"\"\n", + " if all_particles.empty:\n", + " return\n", + "\n", + " output_file = f\"{output_basename}_final.csv\"\n", + " all_particles.to_csv(output_file, index=False)\n", + "\n", + " # Save summary\n", + " summary_data = {\n", + " \"total_particles\": len(all_particles),\n", + " \"total_correlations\": total_correlations,\n", + " \"final_threshold\": threshold,\n", + " }\n", + " summary_df = pd.DataFrame([summary_data])\n", + " summary_df.to_csv(f\"{output_basename}_summary.csv\", index=False)\n", + "\n", + " print(f\"\\nProcessing complete. Final results saved to {output_file}\")\n", + " print(f\"Total particles: {len(all_particles)}\")\n", + "\n", + "\n", + "def process_files_sequentially(\n", + " input_files: list[str],\n", + " output_basename: str,\n", + " false_positive_rate: float = 0.005,\n", + ") -> pd.DataFrame:\n", + " \"\"\"Process files sequentially based on cumulative correlations.\n", + "\n", + " Parameters\n", + " ----------\n", + " input_files : list[str]\n", + " Ordered list of input CSV files to process\n", + " output_basename : str\n", + " Base name for output files (without extension)\n", + " false_positive_rate : float\n", + " False positive rate to use for threshold calculation\n", + "\n", + " Returns\n", + " -------\n", + " pd.DataFrame\n", + " DataFrame containing all processed particles\n", + " \"\"\"\n", + " all_particles = pd.DataFrame()\n", + " total_correlations = 0\n", + "\n", + " for step_idx, input_file in enumerate(input_files):\n", + " step_num = step_idx + 1\n", + " print(f\"\\nProcessing Step {step_num}: {input_file}\")\n", + "\n", + " try:\n", + " # Load parameters and update correlation count\n", + " params_file = input_file.replace(\".csv\", \"_parameters.csv\")\n", + " try:\n", + " correlations = load_parameters_file(params_file)\n", + " total_correlations += correlations\n", + " print(\n", + " f\" Added {correlations} correlations (total: {total_correlations})\"\n", + " )\n", + " except ValueError as e:\n", + " print(f\" Error: {e}\")\n", + " continue\n", + "\n", + " # Calculate threshold\n", + " threshold = gaussian_noise_zscore_cutoff(\n", + " total_correlations, false_positive_rate\n", + " )\n", + " print(\n", + " f\" Threshold for step {step_num}: {threshold:.4f} \"\n", + " f\"(based on {total_correlations} total correlations)\"\n", + " )\n", + "\n", + " # Process results file\n", + " try:\n", + " above_threshold_df = process_results_file(\n", + " input_file, threshold, step_num\n", + " )\n", + " except ValueError as e:\n", + " print(f\" Error: {e}\")\n", + " continue\n", + "\n", + " # Update particle data\n", + " all_particles = update_particle_data(\n", + " all_particles, above_threshold_df, step_num\n", + " )\n", + "\n", + " # Save step results\n", + " save_step_results(all_particles, step_num, output_basename)\n", + "\n", + " except Exception as e:\n", + " print(f\" Error processing file {input_file}: {e}\")\n", + "\n", + " # Save final results\n", + " save_final_results(all_particles, total_correlations, threshold, output_basename)\n", + "\n", + " return all_particles\n", + "\n", + "\n", + "def main():\n", + " \"\"\"Main function for running the constrained search program.\"\"\"\n", + " parser = argparse.ArgumentParser(description=\"Process results files sequentially\")\n", + " parser.add_argument(\n", + " \"input_files\", nargs=\"+\", help=\"Ordered list of input CSV files to process\"\n", + " )\n", + " parser.add_argument(\n", + " \"--output\", \"-o\", required=True, help=\"Output file basename (without extension)\"\n", + " )\n", + " parser.add_argument(\n", + " \"--false-positive-rate\",\n", + " \"-f\",\n", + " type=float,\n", + " default=0.005,\n", + " help=\"False positive rate for threshold calculation (default: 0.005)\",\n", + " )\n", + "\n", + " args = parser.parse_args()\n", + "\n", + " # Check if all files exist\n", + " for input_file in args.input_files:\n", + " if not os.path.exists(input_file):\n", + " print(f\"Error: File {input_file} does not exist!\")\n", + " return\n", + "\n", + " # Process files\n", + " process_files_sequentially(args.input_files, args.output, args.false_positive_rate)\n", + "\n", + "\n", + "if __name__ == \"__main__\":\n", + " main()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "# Results Summary\n", + "\n", + "## Dramatic Improvement with Constrained Search\n", + "\n", + "Using this multi-step constrained search strategy, we've found **279 SSU particles** - a remarkable **21-fold improvement** over traditional template matching!\n", + "\n", + "### Final Results Comparison\n", + "\n", + "| Method | 60S Particles | 40S Particles | Improvement Factor |\n", + "|--------|---------------|---------------|-------------------|\n", + "| **Traditional Template Matching** | 406 | 13 | - |\n", + "| **Constrained Search** | 406 | 279 | **21.5×** |\n", + "\n", + "## Biological Insights\n", + "\n", + "The results file `results/constrained_search_results_combined_final.csv` contains rich structural information:\n", + "\n", + "- **`original_offset_phi/theta/psi`**: Angular offsets relative to the 60S position\n", + "- **Rotation state analysis**: These angles can be used to determine the conformational state of each ribosome\n", + "- **Population statistics**: Enables quantitative analysis of ribosome conformational heterogeneity\n", + "\n", + "## Key Takeaways\n", + "\n", + "1. **Constrained search is essential** for detecting small, flexible particles that would be missed by traditional methods\n", + "2. **Multi-step refinement** maximizes sensitivity while controlling computational cost \n", + "3. **Biological constraints** provide powerful priors that dramatically improve detection\n", + "4. **Quantitative conformational analysis** becomes possible with improved particle detection\n", + "\n", + "This demonstrates the power of constrained search for challenging cryo-EM particle detection tasks, particularly for multi-subunit complexes where structural relationships can be leveraged." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "leopard-em", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/intro_tutorial/Intro tutorial.ipynb b/examples/intro_tutorial/Intro tutorial.ipynb new file mode 100644 index 0000000..1286ee6 --- /dev/null +++ b/examples/intro_tutorial/Intro tutorial.ipynb @@ -0,0 +1,899 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Introduction Tutorial: 60S Template Matching and Refinement\n", + "\n", + "## Introduction\n", + "\n", + "This introductory tutorial focuses on template matching and refinement using the 60S large ribosomal subunit. This tutorial serves as the foundation for understanding cryo-EM template matching workflows before proceeding to more advanced constrained search techniques.\n", + "\n", + "### What You Will Learn\n", + "\n", + "In this tutorial, we will:\n", + "1. **Pre-process PDB files** - Download and prepare ribosome structures for template generation\n", + "2. **Generate optimized 3D templates** - Create realistic cryo-EM templates from 60S structures using ttsim3d\n", + "3. **Perform template matching** - Locate 60S particles in a cryo-EM micrograph using cross-correlation\n", + "4. **Refine template matches** - Improve particle location and orientation estimates through refinement\n", + "5. **Filter and validate results** - Apply quality control measures to obtain high-confidence particle picks\n", + "\n", + "### Dataset\n", + "\n", + "We will be using the MRC file `xenon_131_000_0.0_DWS.mrc` that can be found on Zenodo: [https://zenodo.org/records/15801285](https://zenodo.org/records/15801285)\n", + "\n", + "This micrograph contains ribosome particles in various orientations and shows typical features of cryo-EM data:\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import mrcfile\n", + "import numpy as np\n", + "\n", + "# Open the MRC file\n", + "with mrcfile.open(\"mgraphs/xenon_131_000_0.0_DWS.mrc\", permissive=True) as mrc:\n", + " # Get the data\n", + " data = mrc.data\n", + "\n", + " # If data is 3D, take the first slice\n", + " if len(data.shape) > 2:\n", + " data = data[0]\n", + "\n", + " # Create a figure with a larger size\n", + " plt.figure(figsize=(12, 12))\n", + "\n", + " # Display the image\n", + " plt.imshow(data, cmap=\"gray\")\n", + "\n", + " # Remove axis ticks for cleaner visualization\n", + " plt.axis(\"off\")\n", + "\n", + " # Show the plot\n", + " plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "# Part I: Structure Preparation\n", + "\n", + "## Pre-processing PDB Files\n", + "\n", + "**Objective**: Prepare ribosome structures for template generation by obtaining and organizing the necessary PDB files.\n", + "\n", + "**Why this step matters**: High-quality templates are essential for successful template matching. We need properly formatted PDB structures that accurately represent the biological complexes we want to detect.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Obtaining Structural Models\n", + "\n", + "For this tutorial, we use PDB model **6Q8Y**, which represents the 80S ribosome in the non-rotated state. This high-resolution structure provides an excellent template for cryo-EM particle detection.\n", + "\n", + "**Structure preparation steps**:\n", + "1. **Downloaded** the complete 80S ribosome structure (PDB ID: 6Q8Y)\n", + "2. **Extracted** the 60S large subunit from the full 80S complex manually\n", + "3. **Saved** the 60S subunit as a separate PDB file (`60S_aligned.pdb`)\n", + "\n", + "The 60S subunit is ideal for template matching because it is large and rigid, making it easy to reliably detect.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "# Part II: Template Generation\n", + "\n", + "## Creating 60S Templates from PDB Structures\n", + "\n", + "**Objective**: Generate realistic 3D cryo-EM templates from the 60S PDB structure that can be used for template matching.\n", + "\n", + "### Template Simulation Process\n", + "\n", + "We will use the **teamtomo** package `ttsim3d` to simulate realistic cryo-EM conditions including:\n", + "- **Electron dose weighting** - accounts for radiation damage during exposure\n", + "- **Modulation Transfer Function (MTF)** - simulates detector response characteristics \n", + "- **B-factor scaling** - accounts for structural flexibility and motion blur\n", + "\n", + "This simulation transforms our atomic PDB model into a realistic density map that matches what we expect to see in actual cryo-EM data.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Volume generated\n" + ] + } + ], + "source": [ + "from ttsim3d.models import Simulator, SimulatorConfig\n", + "\n", + "# Instantiate the configuration object\n", + "sim_conf = SimulatorConfig(\n", + " voltage=300.0, # in keV\n", + " apply_dose_weighting=True,\n", + " dose_start=0.0, # in e-/A^2\n", + " dose_end=50.0, # in e-/A^2\n", + " dose_filter_modify_signal=\"rel_diff\",\n", + " upsampling=-1, # auto\n", + " mtf_reference=\"falcon4EC_300kv\",\n", + ")\n", + "\n", + "# Instantiate the simulator\n", + "sim = Simulator(\n", + " pdb_filepath=\"models/60S_aligned.pdb\",\n", + " pixel_spacing=0.95, # Angstroms\n", + " volume_shape=(512, 512, 512),\n", + " center_atoms=True,\n", + " remove_hydrogens=True,\n", + " b_factor_scaling=0.5,\n", + " additional_b_factor=0,\n", + " simulator_config=sim_conf,\n", + ")\n", + "\n", + "# Run the simulation\n", + "volume = sim.run()\n", + "print(\"Volume generated\")\n", + "\n", + "mrc_filepath = \"maps/60S_map_px0.95_bscale0.5_intro.mrc\"\n", + "sim.export_to_mrc(mrc_filepath)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "# Part III: Initial Template Matching\n", + "\n", + "## Test Template Matching Run\n", + "\n", + "**Objective**: Perform an initial template matching run on a smaller image region to test our template and identify optimization opportunities.\n", + "\n", + "**Strategy**: Before running template matching on the full micrograph (which is computationally expensive), we first test on a cropped region. This allows us to:\n", + "- Validate that our template is working correctly\n", + "- Identify a few high-confidence peaks for template optimization\n", + "- Debug any issues with our setup\n", + "\n", + "### Image Preparation\n", + "\n", + "First, we'll crop our micrograph to reduce computational time. We'll extract the central region and reduce the image size by a factor of 4 in each dimension (from ~4k×4k to ~1k×1k pixels).\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cropped image saved as mgraphs/xenon_131_000_0.0_DWS_cropped_4.mrc\n" + ] + } + ], + "source": [ + "import mrcfile\n", + "\n", + "\n", + "def crop_center(image, division_factor):\n", + " \"\"\"Crop the center of the image based on division factor.\"\"\"\n", + " h, w = image.shape\n", + " new_h = h // division_factor\n", + " new_w = w // division_factor\n", + "\n", + " # Calculate start indices for cropping\n", + " start_h = h // 2 - new_h // 2\n", + " start_w = w // 2 - new_w // 2\n", + "\n", + " return image[start_h : start_h + new_h, start_w : start_w + new_w]\n", + "\n", + "\n", + "def main():\n", + " \"\"\"Main function to crop the center of the image.\"\"\"\n", + " input_file = \"mgraphs/xenon_131_000_0.0_DWS.mrc\"\n", + " division_factor = 4 # How much to crop by\n", + "\n", + " # Create output filename\n", + " output_file = input_file.replace(\".mrc\", f\"_cropped_{division_factor}.mrc\")\n", + "\n", + " # Read input MRC\n", + " with mrcfile.open(input_file, permissive=True) as mrc:\n", + " data = mrc.data.copy()\n", + "\n", + " # Ensure the image is 2D\n", + " if len(data.shape) > 2:\n", + " print(\"Warning: Input has more than 2 dimensions. Using first slice.\")\n", + " data = data[0]\n", + "\n", + " # Crop the center\n", + " cropped_data = crop_center(data, division_factor)\n", + "\n", + " # Write output MRC\n", + " with mrcfile.new(output_file, overwrite=True) as mrc_new:\n", + " mrc_new.set_data(cropped_data.astype(np.float32))\n", + " print(f\"Cropped image saved as {output_file}\")\n", + "\n", + "\n", + "if __name__ == \"__main__\":\n", + " main()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Template Matching Configuration\n", + "\n", + "Now we'll set up template matching on the cropped image. We use a YAML configuration file to organize all the parameters in a clean, readable format rather than specifying them directly in Python code.\n", + "\n", + "**Benefits of YAML configuration**:\n", + "- **Reproducibility** - exact parameters are saved and can be shared\n", + "- **Clarity** - all settings are visible and easy to modify\n", + "- **Organization** - complex parameter sets are well-structured\n", + "\n", + "Let's examine the configuration file:\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "```yaml\n", + "micrograph_path: mgraphs/xenon_131_000_0.0_DWS_cropped_4.mrc\n", + "template_volume_path: maps/60S_map_px0.95_bscale0.5_intro.mrc\n", + "computational_config:\n", + " gpu_ids:\n", + " - 0\n", + " - 1\n", + " - 2\n", + " - 3\n", + " num_cpus: 8\n", + "defocus_search_config:\n", + " enabled: true\n", + " defocus_max: 1200.0\n", + " defocus_min: -1200.0\n", + " defocus_step: 200.0\n", + "match_template_result:\n", + " allow_file_overwrite: true\n", + " correlation_average_path: results/output_correlation_average_intro.mrc\n", + " correlation_variance_path: results/output_correlation_variance_intro.mrc\n", + " mip_path: results/output_mip_intro.mrc\n", + " orientation_phi_path: results/output_orientation_phi_intro.mrc\n", + " orientation_psi_path: results/output_orientation_psi_intro.mrc\n", + " orientation_theta_path: results/output_orientation_theta_intro.mrc\n", + " relative_defocus_path: results/output_relative_defocus_intro.mrc\n", + " scaled_mip_path: results/output_scaled_mip_intro.mrc\n", + "optics_group:\n", + " label: micrograph_1\n", + " amplitude_contrast_ratio: 0.07\n", + " ctf_B_factor: 0.0\n", + " astigmatism_angle: 39.417260\n", + " defocus_u: 5978.758301\n", + " defocus_v: 5617.462402\n", + " phase_shift: 0.0\n", + " pixel_size: 0.95\n", + " spherical_aberration: 2.7\n", + " voltage: 300.0\n", + "orientation_search_config:\n", + " base_grid_method: uniform\n", + " psi_step: 1.5 # in degrees\n", + " theta_step: 2.5 # in degrees\n", + "preprocessing_filters:\n", + " bandpass_filter:\n", + " enabled: false\n", + " falloff: 0.05\n", + " high_freq_cutoff: 0.5\n", + " low_freq_cutoff: 0.0\n", + " whitening_filter:\n", + " enabled: true\n", + " do_power_spectrum: true\n", + " max_freq: 1.0\n", + " num_freq_bins: null\n", + "```" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Display the YAML configuration file\n", + "from IPython.display import Markdown, display\n", + "\n", + "# Read the YAML file\n", + "with open(\"configs/match_template_config_crop_intro.yaml\") as file:\n", + " yaml_content = file.read()\n", + "\n", + "# Display as markdown code block\n", + "display(Markdown(f\"```yaml\\n{yaml_content}\\n```\"))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Running Template Matching\n", + "\n", + "Now we'll execute the template matching using the configuration above. The algorithm will:\n", + "1. **Load the template** and micrograph\n", + "2. **Search all orientations** specified in the configuration \n", + "3. **Calculate cross-correlations** at each position and orientation\n", + "4. **Identify peaks** above the statistical threshold\n", + "5. **Export results** to a CSV file for analysis" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from leopard_em.pydantic_models.managers import MatchTemplateManager\n", + "\n", + "YAML_CONFIG_PATH = \"configs/match_template_config_crop_intro.yaml\"\n", + "ORIENTATION_BATCH_SIZE = 8\n", + "\n", + "\n", + "def main():\n", + " \"\"\"Main function to run the match template program.\"\"\"\n", + " mt_manager = MatchTemplateManager.from_yaml(YAML_CONFIG_PATH)\n", + " mt_manager.run_match_template(ORIENTATION_BATCH_SIZE)\n", + " df = mt_manager.results_to_dataframe(locate_peaks_kwargs={\"false_positives\": 1.0})\n", + " df.to_csv(\"results/results_match_template_crop_intro.csv\")\n", + "\n", + "\n", + "# NOTE: invoking from `if __name__ == \"__main__\"` is necessary\n", + "# for proper multiprocessing/GPU-distribution behavior\n", + "if __name__ == \"__main__\":\n", + " main()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Initial Results\n", + "\n", + "Looking at the results CSV file, we found **13 peaks above the statistical threshold**. While this is a modest number for the cropped region, these high-confidence detections provide valuable data for optimizing our template parameters.\n", + "\n", + "---\n", + "\n", + "# Part IV: Template Optimization\n", + "\n", + "## Template Parameter Optimization\n", + "\n", + "**Objective**: Use the initial template matching results to optimize critical parameters and improve detection sensitivity.\n", + "\n", + "**Why optimize**: Even small errors in template parameters can significantly reduce matching performance. We use the initial high-confidence peaks to iteratively refine our template.\n", + "\n", + "### Pixel Size Optimization\n", + "\n", + "**Most Critical Parameter**: The pixel size used for template simulation must precisely match the experimental data.\n", + "\n", + "**Common sources of pixel size errors**:\n", + "- PDB models built with incorrect pixel size calibration (±1-3%)\n", + "- Microscope magnification calibration is not accurate\n", + "\n", + "**Optimization strategy**: We test different pixel sizes and select the one that maximizes correlation scores with our detected peaks.\n", + "\n", + "Let's examine the optimization configuration and run the program:\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "```yaml\n", + "#####################################################\n", + "### OptimizeTemplateManager configuration example ###\n", + "#####################################################\n", + "# An example YAML configuration to modify.\n", + "# Call `OptimizeTemplateManager.from_yaml(path)` to load this configuration.\n", + "particle_stack:\n", + " df_path: results/results_match_template_crop.csv # Needs to be readable by pandas\n", + " extracted_box_size: [528, 528]\n", + " original_template_size: [512, 512]\n", + "pixel_size_coarse_search:\n", + " enabled: true\n", + " pixel_size_min: -0.05\n", + " pixel_size_max: 0.05\n", + " pixel_size_step: 0.01\n", + "pixel_size_fine_search:\n", + " enabled: true\n", + " pixel_size_min: -0.008\n", + " pixel_size_max: 0.008\n", + " pixel_size_step: 0.001\n", + "preprocessing_filters:\n", + " whitening_filter:\n", + " do_power_spectrum: true\n", + " enabled: true\n", + " max_freq: 1.0 # In terms of Nyquist frequency\n", + " num_freq_bins: null\n", + " bandpass_filter:\n", + " enabled: false\n", + " falloff: null\n", + " high_freq_cutoff: null\n", + " low_freq_cutoff: null\n", + "computational_config:\n", + " gpu_ids: \n", + " - 0\n", + " num_cpus: 2\n", + "simulator:\n", + " simulator_config:\n", + " voltage: 300.0\n", + " apply_dose_weighting: true\n", + " dose_start: 0.0\n", + " dose_end: 50.0\n", + " dose_filter_modify_signal: \"rel_diff\"\n", + " upsampling: -1 \n", + " mtf_reference: \"falcon4EC_300kv\"\n", + " pdb_filepath: \"models/60S_aligned.pdb\"\n", + " volume_shape: [512, 512, 512]\n", + " b_factor_scaling: 0.5\n", + " additional_b_factor: 0\n", + " pixel_spacing: 0.95\n", + " center_atoms: true\n", + " remove_hydrogens: true\n", + "\n", + "\n", + "```" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Display the optimize template YAML configuration file\n", + "from IPython.display import Markdown, display\n", + "\n", + "# Read the YAML file\n", + "with open(\"configs/optimize_template_config_intro.yaml\") as file:\n", + " yaml_content = file.read()\n", + "\n", + "# Display as markdown code block\n", + "display(Markdown(f\"```yaml\\n{yaml_content}\\n```\"))\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from leopard_em.pydantic_models.managers import OptimizeTemplateManager\n", + "\n", + "OPTIMIZE_YAML_PATH = \"configs/optimize_template_config_intro.yaml\"\n", + "\n", + "\n", + "def main() -> None:\n", + " \"\"\"Main function to run the optimize template program.\"\"\"\n", + " otm = OptimizeTemplateManager.from_yaml(OPTIMIZE_YAML_PATH)\n", + " otm.run_optimize_template(output_text_path=\"results/optimize_template_results_intro.txt\")\n", + "\n", + "\n", + "if __name__ == \"__main__\":\n", + " main()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Optimization Results\n", + "\n", + "The pixel size optimization determined that **0.936 Å/pixel** provides the best match to our experimental data. This represents a ~1.5% correction from our initial estimate of 0.95 Å/pixel - a small but important improvement.\n", + "\n", + "### Re-generating Optimized Templates\n", + "\n", + "Now we'll regenerate our 60S template using the optimized pixel size. This updated template should provide better correlation scores and more reliable particle detection in the full template matching run.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "60S Volume generated\n" + ] + } + ], + "source": [ + "# Re-simulate 60S map with optimized pixel size\n", + "from ttsim3d.models import Simulator, SimulatorConfig\n", + "\n", + "# Instantiate the configuration object\n", + "sim_conf = SimulatorConfig(\n", + " voltage=300.0, # in keV\n", + " apply_dose_weighting=True,\n", + " dose_start=0.0, # in e-/A^2\n", + " dose_end=50.0, # in e-/A^2\n", + " dose_filter_modify_signal=\"rel_diff\",\n", + " upsampling=-1, # auto\n", + " mtf_reference=\"falcon4EC_300kv\",\n", + ")\n", + "\n", + "# Instantiate the simulator for 60S\n", + "sim = Simulator(\n", + " pdb_filepath=\"models/60S_aligned.pdb\",\n", + " pixel_spacing=0.936, # Optimized Angstroms\n", + " volume_shape=(512, 512, 512),\n", + " center_atoms=False,\n", + " remove_hydrogens=True,\n", + " b_factor_scaling=0.5,\n", + " additional_b_factor=0,\n", + " simulator_config=sim_conf,\n", + ")\n", + "\n", + "# Run the simulation\n", + "volume = sim.run()\n", + "print(\"60S Volume generated\")\n", + "\n", + "mrc_filepath = \"maps/60S_map_px0.936_bscale0.5_intro.mrc\"\n", + "sim.export_to_mrc(mrc_filepath)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "# Part V: Full Template Matching\n", + "\n", + "## Complete 60S Template Matching\n", + "\n", + "**Objective**: Apply our optimized template to the full micrograph to detect all 60S particles.\n", + "\n", + "**Computational requirements**: This full-scale template matching will take approximately 2-3 hours on 4 A6000 ada GPUs, as we're now searching the complete 4k×4k micrograph across all orientations.\n", + "\n", + "Let's examine the configuration for the full 60S template matching:\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Display the 60S match template YAML configuration file\n", + "from IPython.display import Markdown, display\n", + "\n", + "# Read the YAML file\n", + "with open(\"configs/match_template_config_60S_intro.yaml\") as file:\n", + " yaml_content = file.read()\n", + "\n", + "# Display as markdown code block\n", + "display(Markdown(f\"```yaml\\n{yaml_content}\\n```\"))\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "YAML_CONFIG_PATH = \"configs/match_template_config_60S_intro.yaml\"\n", + "ORIENTATION_BATCH_SIZE = 8\n", + "\n", + "\n", + "def main():\n", + " \"\"\"Main function to run the match template program.\"\"\"\n", + " mt_manager = MatchTemplateManager.from_yaml(YAML_CONFIG_PATH)\n", + " mt_manager.run_match_template(ORIENTATION_BATCH_SIZE)\n", + " df = mt_manager.results_to_dataframe(locate_peaks_kwargs={\"false_positives\": 1.0})\n", + " df.to_csv(\"results/results_match_template_60S_intro.csv\")\n", + "\n", + "\n", + "# NOTE: invoking from `if __name__ == \"__main__\"` is necessary\n", + "# for proper multiprocessing/GPU-distribution behavior\n", + "if __name__ == \"__main__\":\n", + " main()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Template Matching Results\n", + "\n", + "Excellent! We found **417 peaks above the statistical threshold** - a substantial improvement over the 13 peaks from our initial test on the cropped region.\n", + "\n", + "### Quality Control and Filtering\n", + "\n", + "However, we need to be cautious about **edge artifacts** in this micrograph. The lamella edge (visible in the top-right region) can cause false correlations because:\n", + "\n", + "- **Low signal variance** in dark regions artificially inflates z-scores\n", + "- **Edge effects** create spurious correlation peaks\n", + "- **Ice contamination** can mimic particle-like features\n", + "\n", + "**Best practice solution**: Replace problematic regions with noise matching the image statistics.\n", + "\n", + "**Tutorial approach**: For simplicity, we'll apply a **dual-threshold filter** requiring both MIP (Maximum Intensity Projection) and scaled MIP values to exceed the threshold. This conservative approach removes edge artifacts while accepting some increase in false negatives.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "from scipy.special import erfcinv\n", + "\n", + "\n", + "def gaussian_noise_zscore_cutoff(num_ccg: int, false_positives: float = 1.0) -> float:\n", + " \"\"\"\n", + " Calculate the cutoff value for the gaussian noise z-score.\n", + "\n", + " Parameters\n", + " ----------\n", + " num_ccg: int\n", + " The number of correlations in the micrograph.\n", + " false_positives: float\n", + " The false positive rate.\n", + "\n", + " Returns\n", + " -------\n", + " float\n", + " The cutoff value for the gaussian noise z-score.\n", + " \"\"\"\n", + " tmp = erfcinv(2.0 * false_positives / num_ccg)\n", + " tmp *= np.sqrt(2.0)\n", + " return float(tmp)\n", + "\n", + "\n", + "def main():\n", + " \"\"\"Main function to filter the results from the match template.\"\"\"\n", + " # Read the CSV file\n", + " df = pd.read_csv(\"results/results_match_template_60S_intro.csv\")\n", + "\n", + " # Calculate the cutoff value\n", + " # Using the total_correlations from the first row since it's the same for all rows\n", + " num_ccg = df[\"total_correlations\"].iloc[0] * (4096 - 512 + 1) ** 2\n", + " cutoff = gaussian_noise_zscore_cutoff(num_ccg, false_positives=1.0)\n", + "\n", + " print(f\"Cutoff value: {cutoff}\")\n", + "\n", + " # Filter rows where either mip or scaled_mip is above the cutoff\n", + " filtered_df = df[(df[\"mip\"] > cutoff) & (df[\"scaled_mip\"] > cutoff)]\n", + "\n", + " # Save the filtered results\n", + " filtered_df.to_csv(\"results/results_match_template_60S_edit_intro.csv\", index=False)\n", + "\n", + " print(f\"Original number of particles: {len(df)}\")\n", + " print(f\"Number of particles after filtering: {len(filtered_df)}\")\n", + "\n", + "\n", + "if __name__ == \"__main__\":\n", + " main()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Filtering Results\n", + "\n", + "The dual-threshold filter removed 9 particles, leaving us with **406 high-quality 60S particle detections**. This represents excellent detection performance for the 60S subunit.\n", + "\n", + "---\n", + "\n", + "# Part VI: Template Refinement\n", + "\n", + "## Refining Particle Positions and Orientations\n", + "\n", + "**Objective**: Improve the accuracy of particle location and orientation estimates through localized refinement.\n", + "\n", + "**Key differences from match template**:\n", + "- **Match Template**: Searches the entire micrograph with coarse sampling\n", + "- **Refine Template**: Searches small regions around known particles with fine sampling\n", + "\n", + "**Refinement strategy**:\n", + "- **Extract particle regions** from the micrograph based on detected positions\n", + "- **Local search** with finer angular and positional sampling\n", + "- **Constrained search space** to prevent particles from moving too far from initial estimates\n", + "\n", + "**Box size consideration**: We use an extraction box that's 6×6 times larger than the template size. This provides sufficient search space while keeping the particle well-centered.\n", + "\n", + "Let's examine the refinement configuration:\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Display the refine template YAML configuration file\n", + "from IPython.display import Markdown, display\n", + "\n", + "# Read the YAML file\n", + "with open(\"configs/refine_template_config_60S_intro.yaml\") as file:\n", + " yaml_content = file.read()\n", + "\n", + "# Display as markdown code block\n", + "display(Markdown(f\"```yaml\\n{yaml_content}\\n```\"))\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import time\n", + "\n", + "from leopard_em.pydantic_models.managers import RefineTemplateManager\n", + "\n", + "#######################################\n", + "### Editable parameters for program ###\n", + "#######################################\n", + "\n", + "# Edit your YAML file to configure the refine template program.\n", + "# Needs to reference the outputs from a match template run.\n", + "# See online documentation for more information on editing this file.\n", + "YAML_CONFIG_PATH = \"configs/refine_template_config_60S_intro.yaml\"\n", + "\n", + "# Path to where the dataframe with refined peak parameters will be output.\n", + "DATAFRAME_OUTPUT_PATH = \"results/results_refine_template_60S_intro.csv\"\n", + "\n", + "# Number of particles to refine simultaneously. Will need to tune this parameter\n", + "# based on the memory & computational resources available.\n", + "PARTICLE_BATCH_SIZE = 64\n", + "\n", + "###############################################################\n", + "### Main function called to run the refine template program ###\n", + "###############################################################\n", + "\n", + "\n", + "def main() -> None:\n", + " \"\"\"Main function for running the refine template program.\"\"\"\n", + " rt_manager = RefineTemplateManager.from_yaml(YAML_CONFIG_PATH)\n", + "\n", + " print(\"Loaded configuration.\")\n", + " print(\"Running refine template...\")\n", + "\n", + " start_time = time.time()\n", + "\n", + " rt_manager.run_refine_template(DATAFRAME_OUTPUT_PATH, PARTICLE_BATCH_SIZE)\n", + "\n", + " print(\"Finished core refine_template call.\")\n", + "\n", + " # Print the wall time of the search in HH:MM:SS\n", + " end_time = time.time()\n", + " elapsed_time = end_time - start_time\n", + " elapsed_time_str = time.strftime(\"%H:%M:%S\", time.gmtime(elapsed_time))\n", + " print(f\"Refine template wall time: {elapsed_time_str}\")\n", + "\n", + " print(\"Done!\")\n", + "\n", + "\n", + "# NOTE: Invoking program under `if __name__ == \"__main__\"` necessary for multiprocesing\n", + "if __name__ == \"__main__\":\n", + " main()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Refinement Results\n", + "\n", + "The refinement process has successfully improved the precision of our particle location and orientation estimates. We could perform additional refinement iterations by using these results as input for further refinement cycles, but the current level of accuracy is sufficient for this tutorial.\n", + "\n", + "---\n", + "\n", + "# Tutorial Summary\n", + "\n", + "## What We Accomplished\n", + "\n", + "In this introductory tutorial, we have successfully completed a full template matching workflow:\n", + "\n", + "1. **Structure Preparation** - Obtained and prepared 60S ribosome PDB structures for template generation\n", + "2. **Template Generation** - Created realistic cryo-EM templates using ttsim3d simulation with proper dose weighting and MTF effects\n", + "3. **Parameter Optimization** - Optimized critical parameters (pixel size: 0.936 Å) using initial template matching results\n", + "4. **Full Template Matching** - Located 417 initial 60S particles across the complete micrograph\n", + "5. **Quality Control** - Applied dual-threshold filtering to obtain 406 high-confidence particle detections\n", + "6. **Template Refinement** - Improved particle location and orientation estimates through localized refinement\n", + "\n", + "## Key Results\n", + "\n", + "- **Final particle count**: 406 high-quality 60S particles\n", + "- **Detection success**: Excellent performance on a challenging cryo-EM dataset\n", + "- **Optimized parameters**: Pixel size refined from 0.95 to 0.936 Å/pixel\n", + "- **Quality control**: Effective filtering of edge artifacts and false positives\n", + "\n", + "## Skills Learned\n", + "\n", + "- **Template simulation** using ttsim3d with realistic cryo-EM conditions\n", + "- **Parameter optimization** strategies for maximizing detection performance\n", + "- **Quality control** methods for filtering false positives\n", + "- **YAML configuration** management for reproducible workflows\n", + "- **Template refinement** techniques for improved accuracy\n", + "\n", + "## Next Steps\n", + "\n", + "The refined 60S particle locations and orientations are now saved in `results/results_refine_template_60S_intro.csv` and ready for downstream analysis or advanced techniques like:\n", + "\n", + "- **Constrained search** for detecting smaller, more challenging particles (40S subunits)\n", + "- **3D reconstruction** using the detected particle positions and orientations\n", + "- **Conformational analysis** of ribosome structural states\n", + "\n", + "This tutorial provides the foundation for understanding cryo-EM template matching workflows and prepares you for more advanced particle detection techniques." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "leopard-em", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/programs/constrained_search/constrained_search_example_config.yaml b/programs/constrained_search/constrained_search_example_config.yaml index 4926faf..564e22b 100644 --- a/programs/constrained_search/constrained_search_example_config.yaml +++ b/programs/constrained_search/constrained_search_example_config.yaml @@ -28,7 +28,7 @@ orientation_refinement_config: search_roll_axis: false roll_axis: [0,1] # [x,y] This defines the roll axis (orthogonal to the rotation axis). roll_step: 2.0 -defocus_search_config: +defocus_refinement_config: enabled: false preprocessing_filters: whitening_filter: @@ -43,4 +43,4 @@ preprocessing_filters: low_freq_cutoff: null computational_config: gpu_ids: 0 - num_cpus: 1 \ No newline at end of file + num_cpus: 1 diff --git a/programs/constrained_search/utils/get_center_vector.py b/programs/constrained_search/utils/get_center_vector.py index 77f7e37..1f2004a 100644 --- a/programs/constrained_search/utils/get_center_vector.py +++ b/programs/constrained_search/utils/get_center_vector.py @@ -3,65 +3,13 @@ import argparse import mmdf -import numpy as np import pandas as pd import roma import torch -def calculate_mean_position(df: pd.DataFrame) -> torch.Tensor: - """ - Calculate the mean position of a PDB structure. - - Attributes - ---------- - df: pd.DataFrame - The mmdf DataFrame with the PDB structure. - - Returns - ------- - torch.Tensor - The mean position as a 3D vector [x, y, z]. - """ - # Extract coordinates and calculate mean - coords = torch.tensor(df[["x", "y", "z"]].values, dtype=torch.float32) - mean_pos = coords.mean(dim=0) - - return mean_pos - - -def rotate_vector(vector: torch.Tensor, rotation_matrix: torch.Tensor) -> torch.Tensor: - """ - Rotate a vector using a rotation matrix. - - Attributes - ---------- - vector: torch.Tensor - The vector to rotate. - rotation_matrix: torch.Tensor - The rotation matrix to use. - - Returns - ------- - Rotated vector - """ - # Convert to tensor if not already - if not isinstance(vector, torch.Tensor): - vector = torch.tensor(vector, dtype=torch.float32) - - # Ensure matching types between rotation_matrix and vector - if rotation_matrix.dtype != vector.dtype: - rotation_matrix = rotation_matrix.to(dtype=vector.dtype) - - # Apply rotation - rotated_vector = rotation_matrix @ vector - - return rotated_vector - - def setup_argparse() -> argparse.Namespace: - """ - Set up and parse command line arguments. + """Setup and return and argparse object for command line arguments. Returns ------- @@ -69,20 +17,27 @@ def setup_argparse() -> argparse.Namespace: Parsed command line arguments """ parser = argparse.ArgumentParser( - description="Calculate vector between PDB structures" + description="Calculate positional vector between PDB structures" ) - parser.add_argument("pdb_file1", help="PDB file of larger structure") - parser.add_argument("pdb_file2", help="PDB file of smaller structure") + parser.add_argument("pdb_file1", help="PDB file of reference (larger) structure") + parser.add_argument("pdb_file2", help="PDB file of constrained (smaller) structure") + parser.add_argument("output_file", help="Output file for analysis results") parser.add_argument( "--num-rotations", type=int, default=5, - help="Number of random rotations to test", - ) - parser.add_argument( - "--output-file", default="defocus_analysis.txt", help="Output analysis file" + help="Number of random rotations to test. Default is 5 rotations.", ) - return parser.parse_args() + + return parser + + +def calculate_mean_position(df: pd.DataFrame) -> torch.Tensor: + """Calculate the mean position of a PDB structure loaded into a dataframe.""" + coords = torch.tensor(df[["x", "y", "z"]].values, dtype=torch.float32) + mean_pos = coords.mean(dim=0) + + return mean_pos def calculate_relative_vectors(pdb_file1: str, pdb_file2: str) -> dict: @@ -113,7 +68,7 @@ def calculate_relative_vectors(pdb_file1: str, pdb_file2: str) -> dict: print(f"File 1: {pdb_file1} - {len(df1)} atoms") print(f"File 2: {pdb_file2} - {len(df2)} atoms") - # Calculate mean positions at default orientation (0,0,0) + # Calculate mean positions at default orientation (0, 0, 0) mean_pos1 = calculate_mean_position(df1) mean_pos2 = calculate_mean_position(df2) @@ -132,14 +87,12 @@ def calculate_relative_vectors(pdb_file1: str, pdb_file2: str) -> dict: ) # Print initial results - print("\nInitial Analysis:") - print( - f"Vector from PDB1 to PDB2: [{vector[0]:.6f}, {vector[1]:.6f}, {vector[2]:.6f}]" - ) - print( - f"Vector Euler angles (ZYZ): Phi={phi:.2f}°, Theta={theta:.2f}°, Psi={psi:.2f}°" - ) - print(f"Z-height difference (defocus): {defocus_description}") + initial_results = f"""Initial Analysis: + Vector from PDB1 to PDB2: [{vector[0]:.6f}, {vector[1]:.6f}, {vector[2]:.6f}] + Vector Euler angles (ZYZ, deg): Phi={phi:.2f}, Theta={theta:.2f}, Psi={psi:.2f} + Z-height difference (defocus): {defocus_description} + """ + print(initial_results) return { "df1": df1, @@ -151,37 +104,7 @@ def calculate_relative_vectors(pdb_file1: str, pdb_file2: str) -> dict: } -def generate_rotation_samples(num_rotations: int) -> torch.Tensor: - """ - Generate a set of random rotations for testing. - - Parameters - ---------- - num_rotations : int - Number of random rotations to generate - - Returns - ------- - torch.Tensor - Tensor containing rotation angles (Euler ZYZ convention) - """ - # Generate random Euler angles for testing - if num_rotations > 1: - # Generate all random angles with a single call - random_rotations = np.random.uniform(-180, 180, size=(num_rotations - 1, 3)) - # Adjust theta values to be between 0 and 180 - random_rotations[:, 1] = np.abs(random_rotations[:, 1]) % 180 - # Start with default orientation [0,0,0] and concatenate random rotations - rotations = np.vstack(([0.0, 0.0, 0.0], random_rotations)) - else: - # Just use the default orientation if num_rotations is 1 - rotations = np.array([[0.0, 0.0, 0.0]]) - - # Convert to tensor for batch processing - return torch.tensor(rotations, dtype=torch.float32) - - -def process_rotations(vector: torch.Tensor, rotations_tensor: torch.Tensor) -> list: +def process_rotations(vector: torch.Tensor, num_rotations: int) -> list: """ Process each rotation and calculate the resulting defocus. @@ -189,8 +112,8 @@ def process_rotations(vector: torch.Tensor, rotations_tensor: torch.Tensor) -> l ---------- vector : torch.Tensor The original vector between structures - rotations_tensor : torch.Tensor - Tensor containing rotation angles to test + num_rotations : int + Number of random rotations to test (in addition to default orientation) Returns ------- @@ -200,34 +123,26 @@ def process_rotations(vector: torch.Tensor, rotations_tensor: torch.Tensor) -> l print("\nDefocus changes for different rotations:") defocus_results = [] - for i, euler in enumerate(rotations_tensor): - # Convert degrees to radians using np.deg2rad - phi_rad, theta_rad, psi_rad = (np.deg2rad(angle.item()) for angle in euler) - - # Create rotation matrix using RoMA (ZYZ intrinsic convention) - euler_angles = torch.tensor([phi_rad, theta_rad, psi_rad]) - rotation_matrix = roma.rotvec_to_rotmat( - roma.euler_to_rotvec(convention="ZYZ", angles=euler_angles) - ) + for i in range(num_rotations + 1): + if i == 0: + rand_rotmat = torch.eye(3) + else: + rand_rotmat = roma.random_rotmat() - # Rotate the vector - rotated_vector = rotate_vector(vector, rotation_matrix) + rand_euler = roma.rotmat_to_euler("ZYZ", rand_rotmat, degrees=True) + rotated_vector = rand_rotmat @ vector # Extract new z-component (defocus) new_z_diff = rotated_vector[2].item() new_defocus = ( f"{abs(new_z_diff):.2f} Angstroms {'below' if new_z_diff < 0 else 'above'}" ) - - print( - f"Rotation #{i+1} - Euler({euler[0]:.2f}°, {euler[1]:.2f}°, " - f"{euler[2]:.2f}°): Defocus = {new_defocus}" - ) + print(f"Rotation #{i+1} - {rand_euler}: Defocus = {new_defocus}") defocus_results.append( { "rotation": i + 1, - "euler_angles": [e.item() for e in euler], + "euler_angles": [angle.item() for angle in rand_euler], "defocus": new_z_diff, "description": new_defocus, } @@ -240,7 +155,7 @@ def write_results_to_file( output_file: str, pdb_file1: str, pdb_file2: str, - vector_data: dict, + vector_info: dict, defocus_results: list, ) -> None: """ @@ -254,37 +169,37 @@ def write_results_to_file( Path to first PDB file pdb_file2 : str Path to second PDB file - vector_data : dict + vector_info : dict Dictionary with vector data from calculate_relative_vectors defocus_results : list List of defocus results from process_rotations """ - vector = vector_data["vector"] - phi, theta, psi = vector_data["euler_angles"] - defocus_description = vector_data["defocus_description"] + vector = vector_info["vector"] + phi, theta, psi = vector_info["euler_angles"] + defocus_description = vector_info["defocus_description"] - with open(output_file, "w") as f: - f.write("# PDB Vector and Defocus Analysis\n\n") - f.write(f"Source PDB 1: {pdb_file1}\n") - f.write(f"Source PDB 2: {pdb_file2}\n\n") + result_string = f"""# PDB Vector and Defocus Analysis + Source PDB 1: {pdb_file1} + Source PDB 2: {pdb_file2} - f.write("## Initial Vector Analysis\n") - f.write( - f"Vector PDB1-PDB2: [{vector[0]:.6f}, {vector[1]:.6f}, {vector[2]:.6f}]\n" - ) - f.write( - f"Vector Eulers (ZYZ): Phi={phi:.2f}°, Theta={theta:.2f}°, Psi={psi:.2f}°\n" + ## Initial Vector Analysis + Vector PDB1-PDB2: [{vector[0]:.6f}, {vector[1]:.6f}, {vector[2]:.6f}] + Vector Eulers (ZYZ, deg): Phi={phi:.2f}, Theta={theta:.2f}, Psi={psi:.2f} + Z-height difference (defocus): {defocus_description} + + ## Defocus changes for different rotations + """ + for result in defocus_results: + euler = result["euler_angles"] + result_string += ( + f" Rotation #{result['rotation']} - " + f" Euler({euler[0]:.2f}, {euler[1]:.2f}, {euler[2]:.2f}): " ) - f.write(f"Z-height difference (defocus): {defocus_description}\n\n") + result_string += f"Defocus = {result['description']}\n" - f.write("## Defocus changes for different rotations\n") - for result in defocus_results: - euler = result["euler_angles"] - f.write( - f"Rotation #{result['rotation']} - " - f"Euler({euler[0]:.2f}°, {euler[1]:.2f}°, {euler[2]:.2f}°): " - ) - f.write(f"Defocus = {result['description']}\n") + # Write results to file + with open(output_file, "w") as f: + f.write(result_string) print(f"\nAnalysis results written to {output_file}") @@ -292,20 +207,13 @@ def write_results_to_file( def main() -> None: """Main function to calculate the center vector between two PDB structures.""" # Setup argparse - args = setup_argparse() + parser = setup_argparse() + args = parser.parse_args() - # Calculate relative position and orientation vectors - vector_data = calculate_relative_vectors(args.pdb_file1, args.pdb_file2) - - # Generate random rotation samples - rotations_tensor = generate_rotation_samples(args.num_rotations) - - # Process each rotation and collect results - defocus_results = process_rotations(vector_data["vector"], rotations_tensor) - - # Write results to file + vector_info = calculate_relative_vectors(args.pdb_file1, args.pdb_file2) + defocus_results = process_rotations(vector_info["vector"], args.num_rotations) write_results_to_file( - args.output_file, args.pdb_file1, args.pdb_file2, vector_data, defocus_results + args.output_file, args.pdb_file1, args.pdb_file2, vector_info, defocus_results ) diff --git a/programs/constrained_search/utils/get_rot_axis.py b/programs/constrained_search/utils/get_rot_axis.py index ef1e0de..1440569 100644 --- a/programs/constrained_search/utils/get_rot_axis.py +++ b/programs/constrained_search/utils/get_rot_axis.py @@ -1,112 +1,100 @@ """Calculate the rotation axis for a pair of PDB structures.""" -import math import sys import mmdf +import numpy as np import roma import torch +from scipy.spatial.transform import Rotation -def extract_rotation_axis_angle(rotmat: torch.Tensor) -> tuple[torch.Tensor, float]: - """Extract rotation axis and angle from rotation matrix. +def extract_rotation_axis_angle( + rotmat: torch.Tensor | np.ndarray, +) -> tuple[np.ndarray, float]: + """Extract rotation axis and angle from rotation matrix handling edge cases. Attributes ---------- - rotmat: torch.Tensor - The rotation matrix. + rotmat: torch.Tensor | np.ndarray + The rotation matrix either as a torch tensor or numpy array. Returns ------- - tuple[torch.Tensor, float] - The rotation axis and angle. + tuple[np.ndarray, float] + The rotation axis and angle with angle in units of radians. """ - # Calculate angle from trace - trace = torch.trace(rotmat) - cos_theta = (trace - 1) / 2 - cos_theta = torch.clamp(cos_theta, -1.0, 1.0) - angle = torch.acos(cos_theta) - - # Handle special cases (very small angles or near 180 degrees) - if torch.abs(angle) < 1e-6: - return torch.tensor([0.0, 0.0, 1.0]), angle - elif torch.abs(angle - math.pi) < 1e-6: - diag = torch.diag(rotmat) + 1 - axis_idx = torch.argmax(diag) - axis = rotmat[:, axis_idx].clone() - axis = axis / torch.norm(axis) - # Ensure the axis points in the positive z direction - if axis[2] < 0: - axis = -axis - return axis, angle - - # Normal case - extract axis - axis = torch.tensor( - [ - rotmat[2, 1] - rotmat[1, 2], - rotmat[0, 2] - rotmat[2, 0], - rotmat[1, 0] - rotmat[0, 1], - ] - ) + rotmat = rotmat.numpy() if isinstance(rotmat, torch.Tensor) else rotmat + + rotation = Rotation.from_matrix(rotmat) + rotvec = rotation.as_rotvec() + + angle = np.linalg.norm(rotvec) - # Normalize the axis - axis = axis / torch.norm(axis) + # Handle edge case for very small angles (near zero) + if np.abs(angle) < 1e-6: + return np.array([0.0, 0.0, 1.0]), angle - # Ensure the axis points in the positive z direction - if axis[2] < 0: - axis = -axis - angle = -angle # Also flip the angle when we flip the axis - angle = angle + 2 * math.pi if angle < 0 else angle # Keep angle positive + # NOTE: Edge case for angles near 180 degrees handled by scipy internally + axis = rotvec / angle return axis, angle -def calculate_axis_euler_angles(axis: torch.Tensor) -> tuple[float, float]: +def calculate_axis_euler_angles(axis: torch.Tensor | np.ndarray) -> tuple[float, float]: """Calculate Euler angles (ZYZ) that for the rotation axis. Attributes ---------- - axis: torch.Tensor + axis: torch.Tensor | np.ndarray The rotation axis. Returns ------- tuple[float, float] - The Euler angles. + The Euler angles in units of degrees """ - # Z-axis unit vector - z_axis = torch.tensor([0.0, 0.0, 1.0], dtype=torch.float32) + z_axis = np.array([0.0, 0.0, 1.0], dtype=np.float32) + axis = axis.numpy() if isinstance(axis, torch.Tensor) else axis - # Handle special cases - if torch.norm(axis - z_axis) < 1e-6: - return 0.0, 0.0 # Axis aligned with z-axis + # Edge case for axis already aligned with z-axis + if np.linalg.norm(axis - z_axis) < 1e-6: + return 0.0, 0.0 - if torch.norm(axis + z_axis) < 1e-6: - return 0.0, 180.0 # Axis anti-aligned with z-axis + # Edge case for axis anti-aligned with z-axis + if np.linalg.norm(axis + z_axis) < 1e-6: + return 0.0, 180.0 # Calculate theta - angle from z-axis (polar angle) - cos_theta = torch.dot(axis, z_axis) - theta = torch.acos(torch.clamp(cos_theta, -1.0, 1.0)) * 180 / math.pi + cos_theta = np.dot(axis, z_axis) + theta = np.acos(np.clip(cos_theta, -1.0, 1.0)) * 180 / np.pi # Calculate phi - angle in xy plane (azimuthal angle) - phi = torch.atan2(axis[1], axis[0]) * 180 / math.pi + phi = np.atan2(axis[1], axis[0]) * 180 / np.pi if phi < 0: phi += 360.0 # Convert to 0-360 range return phi, theta -def main() -> None: - """Calculate rotation axis for a pair of PDB structures.""" - if len(sys.argv) != 4: - print(f"Usage: {sys.argv[0]} ") - sys.exit(1) +def process_pdb_files( + pdb_file1: str, pdb_file2: str +) -> tuple[np.ndarray, float, float, float]: + """Helper function to calculate the rotation axis and angle for two PDB files. - pdb_file1 = sys.argv[1] - pdb_file2 = sys.argv[2] - output_file = sys.argv[3] + Parameters + ---------- + pdb_file1: str + Path to the first PDB file. + pdb_file2: str + Path to the second PDB file. - # Parse PDB files + Returns + ------- + tuple[np.ndarray, float, float, float] + The rotation axis, rotation angle in radians, and Euler angles (phi, theta). + """ + # Read PDB files df1 = mmdf.read(pdb_file1) df2 = mmdf.read(pdb_file2) @@ -121,68 +109,86 @@ def main() -> None: coords2_centered = coords2 - centroid2 # Calculate rotation matrix - # rotation_matrix = calculate_rotation_matrix(coords1_centered, coords2_centered) rotation_matrix, _ = roma.rigid_points_registration( coords1_centered, coords2_centered ) - # Extract rotation axis and angle - rotation_axis, rotation_angle = extract_rotation_axis_angle(rotation_matrix) - # Calculate Euler angles for the rotation axis + # Extract rotation axis and angle plus Euler angles + rotation_axis, rotation_angle = extract_rotation_axis_angle(rotation_matrix) phi, theta = calculate_axis_euler_angles(rotation_axis) - # Output results - angle_degrees = float(rotation_angle) * 180 / math.pi - - print("\nRotation Analysis Results:") - print( - f"Rotation Axis: [{rotation_axis[0]:.6f}, " - f"{rotation_axis[1]:.6f}, {rotation_axis[2]:.6f}]" - ) - print(f"Rotation Angle: {angle_degrees:.2f} degrees") + # radians to degrees + rotation_angle = np.rad2deg(rotation_angle) + + return rotation_axis, rotation_angle, phi, theta + + +def write_results( + output_file: str, + pdb_file1: str, + pdb_file2: str, + rotation_axis: np.ndarray, + rotation_angle: float, + phi: float, + theta: float, +) -> None: + """Helper function to write the script results to a file.""" + suggested_range = min(30.0, max(10.0, rotation_angle / 2)) + results_string = f"""# PDB Rotation Analysis Results\n + Source PDB: {pdb_file1} + Target PDB: {pdb_file2} + + ## Rotation Parameters + Axis: {rotation_axis[0]:.6f} {rotation_axis[1]:.6f} {rotation_axis[2]:.6f} + Angle: {rotation_angle:.6f} degrees\n + + ## Axis Orientation Angles (input for constrained search config) + rotation_axis_euler_angles: [{phi:.2f}, {theta:.2f}, 0.0]\n + + ## Example constrained search config + orientation_refinement_config: + enabled: true + out_of_plane_step: 1.0 # Step size around the rotation axis + in_plane_step: 0.5 # Step size for fine adjustment angles + rotation_axis_euler_angles: [{phi:.2f}, {theta:.2f}, 0.0] + phi_min: -{suggested_range:.1f} # Search range for around the axis + phi_max: {suggested_range:.1f} + theta_min: -2.0 # Small adjustments perpendicular to axis (optional) + theta_max: 2.0 + psi_min: -2.0 # Small in-plane adjustments (optional) + psi_max: 2.0 + """ - print("\nEuler Angles of the rotation axis (ZYZ convention):") - print(f" Phi: {phi:.2f} degrees (range 0-360)") - print(f" Theta: {theta:.2f} degrees (range 0-180)") + # Print the script results to the console + print(results_string) - # Write results to output file + # And also write them to a file with open(output_file, "w", encoding="utf-8") as f: - f.write("# PDB Rotation Analysis Results\n\n") - f.write(f"Source PDB: {pdb_file1}\n") - f.write(f"Target PDB: {pdb_file2}\n") - f.write(f"Number of atoms: {len(df1)}\n\n") - - f.write("## Rotation Parameters\n") - f.write( - f"Axis: {rotation_axis[0]:.6f} " - f"{rotation_axis[1]:.6f} {rotation_axis[2]:.6f}\n" - ) - f.write(f"Angle: {angle_degrees:.6f} degrees\n\n") - - f.write("## Axis Orientation Angles (for constrained search config)\n") - f.write(f"rotation_axis_euler_angles: [{phi:.2f}, {theta:.2f}, 0.0]\n\n") - - f.write("## Example constrained search config\n") - f.write("orientation_refinement_config:\n") - f.write(" enabled: true\n") - f.write(" out_of_plane_step: 1.0 # Step size around the rotation axis\n") - f.write(" in_plane_step: 0.5 # Step size for fine adjustment angles\n") - f.write(f" rotation_axis_euler_angles: [{phi:.2f}, {theta:.2f}, 0.0]\n") - suggested_range = min(30.0, max(10.0, angle_degrees / 2)) - f.write( - f" phi_min: -{suggested_range:.1f} # Search range for around the axis\n" - ) - f.write(f" phi_max: {suggested_range:.1f}\n") - f.write( - " theta_min: -2.0 # Small adjustments perpendicular to axis (optional)\n" - ) - f.write(" theta_max: 2.0\n") - f.write(" psi_min: -2.0 # Small in-plane adjustments (optional)\n") - f.write(" psi_max: 2.0\n") + f.write(results_string) print(f"Rotation analysis written to: {output_file}") - print("\nFor your constrained search config.yaml:") - print(f"rotation_axis_euler_angles: [{phi:.2f}, {theta:.2f}, 0.0]") + + +def main() -> None: + """Calculate rotation axis for a pair of PDB structures.""" + if len(sys.argv) != 4: + print(f"Usage: {sys.argv[0]} ") + sys.exit(1) + + pdb_file1 = sys.argv[1] + pdb_file2 = sys.argv[2] + output_file = sys.argv[3] + + rotation_axis, rotation_angle, phi, theta = process_pdb_files(pdb_file1, pdb_file2) + write_results( + output_file, + pdb_file1, + pdb_file2, + rotation_axis, + rotation_angle, + phi, + theta, + ) if __name__ == "__main__": diff --git a/programs/constrained_search/utils/sequential_threshold_processing.py b/programs/constrained_search/utils/sequential_threshold_processing.py new file mode 100755 index 0000000..278c5cc --- /dev/null +++ b/programs/constrained_search/utils/sequential_threshold_processing.py @@ -0,0 +1,449 @@ +"""Processes results files from multiple directories sequentially.""" + +import argparse +import glob +import os +from collections import defaultdict +from typing import dict, tuple + +import pandas as pd + +from leopard_em.analysis.zscore_metric import gaussian_noise_zscore_cutoff + + +def get_micrograph_id(filename: str) -> str: + """Extract micrograph ID from filename. + + Parameters + ---------- + filename : str + Filename to extract micrograph ID from + + Returns + ------- + micrograph_id : str + Micrograph ID + """ + base_name = os.path.basename(filename) + # Extract the part before _results.csv + parts = base_name.split("_results.csv")[0] + return parts + + +def load_parameters_file(params_file: str) -> pd.DataFrame: + """Load and validate parameters file. + + Parameters + ---------- + params_file : str + Path to parameters file + + Returns + ------- + pd.DataFrame + Parameters data if valid, empty DataFrame otherwise + """ + try: + params_df = pd.read_csv(params_file) + return params_df if not params_df.empty else pd.DataFrame() + except Exception as e: + print(f" Error reading parameters file {params_file}: {e}") + return pd.DataFrame() + + +def calculate_micrograph_thresholds( + micrograph_correlations: dict[str, int], + false_positive_rate: float, +) -> dict[str, float]: + """Calculate thresholds for each micrograph based on correlation counts. + + Parameters + ---------- + micrograph_correlations : dict[str, int] + Dictionary mapping micrograph IDs to their total correlations + false_positive_rate : float + False positive rate for threshold calculation + + Returns + ------- + dict[str, float] + Dictionary mapping micrograph IDs to their thresholds + """ + thresholds = {} + for micrograph_id, total_correlations in micrograph_correlations.items(): + threshold = gaussian_noise_zscore_cutoff( + total_correlations, false_positive_rate + ) + thresholds[micrograph_id] = threshold + return thresholds + + +def process_results_file( + results_file: str, + micrograph_thresholds: dict[str, float], + step_num: int, +) -> tuple[pd.DataFrame, str]: + """Process a single results file and filter particles above threshold. + + Parameters + ---------- + results_file : str + Path to results file + micrograph_thresholds : dict[str, float] + Dictionary of thresholds per micrograph + step_num : int + Current step number + + Returns + ------- + tuple[pd.DataFrame, str] + DataFrame of particles above threshold and micrograph ID + + Raises + ------ + ValueError + If no threshold can be calculated for the micrograph + """ + micrograph_id = get_micrograph_id(results_file) + + try: + results_df = pd.read_csv(results_file) + if results_df.empty: + print(f" Warning: Empty results file {results_file}") + return pd.DataFrame(), micrograph_id + + # Get threshold for this micrograph + if micrograph_id not in micrograph_thresholds: + raise ValueError( + f"No correlation data found for micrograph {micrograph_id}. " + "Cannot calculate threshold. Please ensure the parameters file exists " + "and contains correlation data." + ) + + threshold = micrograph_thresholds[micrograph_id] + + # Determine which column to use for comparison + compare_col = ( + "refined_scaled_mip" + if "refined_scaled_mip" in results_df.columns + else "scaled_mip" + ) + if compare_col != "refined_scaled_mip": + print( + f" Warning: refined_scaled_mip not found in {results_file}, " + f"using mip instead" + ) + + # Filter particles above threshold + above_threshold_df = results_df[results_df[compare_col] > threshold].copy() + if not above_threshold_df.empty: + above_threshold_df["step"] = step_num + print( + f"{micrograph_id}: {len(above_threshold_df)} of {len(results_df)} " + f"particles above threshold (using {compare_col})" + ) + + return above_threshold_df, micrograph_id + + except Exception as e: + print(f" Error processing results file {results_file}: {e}") + return pd.DataFrame(), micrograph_id + + +def update_particle_data( + all_particles: dict[str, pd.DataFrame], + particle_step_map: dict[tuple[str, int], int], + new_particles: pd.DataFrame, + micrograph_id: str, + step_num: int, +) -> None: + """Update particle data with new results. + + Parameters + ---------- + all_particles : dict[str, pd.DataFrame] + Dictionary of all particles per micrograph + particle_step_map : dict[tuple[str, int], int] + Map of particles to their last seen step + new_particles : pd.DataFrame + New particles to add/update + micrograph_id : str + ID of the micrograph + step_num : int + Current step number + """ + if new_particles.empty: + return + + if micrograph_id not in all_particles: + all_particles[micrograph_id] = new_particles + for idx in new_particles["particle_index"]: + particle_step_map[(micrograph_id, idx)] = step_num + return + + existing_df = all_particles[micrograph_id] + updated_df = existing_df.copy() + + for _, particle in new_particles.iterrows(): + particle_idx = particle["particle_index"] + existing_particle = existing_df[existing_df["particle_index"] == particle_idx] + + if len(existing_particle) > 0: + # Update existing particle + idx_to_update = updated_df.index[ + updated_df["particle_index"] == particle_idx + ].tolist()[0] + + # Handle offset columns + offset_cols = [ + "original_offset_phi", + "original_offset_theta", + "original_offset_psi", + ] + for col in offset_cols: + if col not in updated_df.columns: + updated_df[col] = 0.0 + if col in particle and pd.notna(particle[col]): + updated_df.at[idx_to_update, col] += particle[col] + + # Update other parameters + for col in particle.index: + if col not in offset_cols and pd.notna(particle[col]): + updated_df.at[idx_to_update, col] = particle[col] + + updated_df.at[idx_to_update, "step"] = step_num + else: + # Add new particle + updated_df = pd.concat( + [updated_df, pd.DataFrame([particle])], ignore_index=True + ) + + particle_step_map[(micrograph_id, particle_idx)] = step_num + + all_particles[micrograph_id] = updated_df + + +def save_step_results( + all_particles: dict[str, pd.DataFrame], + step_num: int, + step_output_dir: str, +) -> None: + """Save results for the current step. + + Parameters + ---------- + all_particles : dict[str, pd.DataFrame] + Dictionary of all particles per micrograph + step_num : int + Current step number + step_output_dir : str + Directory to save results + """ + for micrograph_id, particles_df in all_particles.items(): + step_particles = particles_df[particles_df["step"] == step_num] + if not step_particles.empty: + output_file = os.path.join( + step_output_dir, f"{micrograph_id}_results_above_threshold.csv" + ) + step_particles.to_csv(output_file, index=False) + print( + f" Saved {len(step_particles)} particles for {micrograph_id}" + f" in step {step_num}" + ) + + +def save_final_results( + all_particles: dict[str, pd.DataFrame], + micrograph_thresholds: dict[str, float], + micrograph_correlations: dict[str, int], + output_base_dir: str, +) -> None: + """Save final results and summary. + + Parameters + ---------- + all_particles : dict[str, pd.DataFrame] + Dictionary of all particles per micrograph + micrograph_thresholds : dict[str, float] + Dictionary of thresholds per micrograph + micrograph_correlations : dict[str, int] + Dictionary of correlations per micrograph + output_base_dir : str + Base directory for output + """ + final_output_dir = os.path.join(output_base_dir, "final_results") + os.makedirs(final_output_dir, exist_ok=True) + + summary_data = [] + for micrograph_id, particles_df in all_particles.items(): + output_file = os.path.join( + final_output_dir, f"{micrograph_id}_results_above_threshold.csv" + ) + particles_df.to_csv(output_file, index=False) + + final_threshold = micrograph_thresholds.get(micrograph_id, "N/A") + total_correlations = micrograph_correlations.get(micrograph_id, 0) + n_particles = len(particles_df) + + summary_data.append( + { + "micrograph_id": micrograph_id, + "total_particles": n_particles, + "total_correlations": total_correlations, + "final_threshold": final_threshold, + } + ) + + print( + f"Saved {n_particles} final particles for {micrograph_id} " + f"(threshold: {final_threshold}, correlations: {total_correlations})" + ) + + summary_df = pd.DataFrame(summary_data) + summary_df.to_csv( + os.path.join(final_output_dir, "processing_summary.csv"), index=False + ) + print(f"\nProcessing complete. Final results saved to {final_output_dir}") + + +def process_directories_sequentially( + directory_list: list[str], + output_base_dir: str, + false_positive_rate: float = 0.005, +) -> dict[str, pd.DataFrame]: + """ + Process directories sequentially. + + Parameters + ---------- + directory_list : list + Ordered list of directories to process + output_base_dir : str + Base directory to store output files + false_positive_rate : float + False positive rate to use for threshold calculation + + Returns + ------- + all_particles : dict + Dictionary of micrograph IDs as keys and df as values + """ + os.makedirs(output_base_dir, exist_ok=True) + + all_particles = {} + particle_step_map = {} + micrograph_correlations = defaultdict(int) + micrograph_thresholds = {} + + for step_idx, directory in enumerate(directory_list): + step_num = step_idx + 1 + print(f"\nProcessing Step {step_num}: {directory}") + + step_output_dir = os.path.join(output_base_dir, f"step_{step_num}") + os.makedirs(step_output_dir, exist_ok=True) + + results_files = glob.glob( + os.path.join(directory, "**", "*_results.csv"), recursive=True + ) + if not results_files: + print(f" Warning: No results files found in {directory}") + continue + + print(f" Found {len(results_files)} results files") + step_micrograph_parameters = {} + + # Process parameters files + for results_file in results_files: + micrograph_id = get_micrograph_id(results_file) + params_file = results_file.replace( + "_results.csv", "_results_parameters.csv" + ) + + if os.path.exists(params_file): + params_df = load_parameters_file(params_file) + if not params_df.empty: + step_micrograph_parameters[micrograph_id] = params_df.iloc[0] + if "num_correlations" in params_df.columns: + correlations = int(params_df.iloc[0]["num_correlations"]) + micrograph_correlations[micrograph_id] += correlations + print( + f" {micrograph_id}: Added {correlations} correlations " + f"(total: {micrograph_correlations[micrograph_id]})" + ) + else: + print(f" Warning: Parameters file not found for {results_file}") + + # Calculate thresholds + micrograph_thresholds = calculate_micrograph_thresholds( + micrograph_correlations, false_positive_rate + ) + + # Process results files + for results_file in results_files: + above_threshold_df, micrograph_id = process_results_file( + results_file, + micrograph_thresholds, + step_micrograph_parameters, + false_positive_rate, + step_num, + ) + + if not above_threshold_df.empty: + update_particle_data( + all_particles, + particle_step_map, + above_threshold_df, + micrograph_id, + step_num, + ) + + # Save step results + save_step_results(all_particles, step_num, step_output_dir) + + # Save final results + save_final_results( + all_particles, micrograph_thresholds, micrograph_correlations, output_base_dir + ) + + # Print total particles + total_particles = sum(len(df) for df in all_particles.values()) + print(f"Total particles across all micrographs: {total_particles}") + + return all_particles + + +def main() -> None: + """Main function to process results files sequentially.""" + parser = argparse.ArgumentParser( + description="Process results files from multiple directories sequentially" + ) + parser.add_argument( + "directories", nargs="+", help="Ordered list of directories to process" + ) + parser.add_argument( + "--output", "-o", required=True, help="Output directory for results" + ) + parser.add_argument( + "--false-positive-rate", + "-f", + type=float, + default=0.005, + help="False positive rate for threshold calculation (default: 0.005)", + ) + + args = parser.parse_args() + + # Check if all directories exist + for directory in args.directories: + if not os.path.exists(directory): + print(f"Error: Directory {directory} does not exist!") + return + + # Process directories + process_directories_sequentially( + args.directories, args.output, args.false_positive_rate + ) + + +if __name__ == "__main__": + main()