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This may not be the right place for this, I'm a noob and I appreciate any advice. I figure someone else must have done this before, so maybe I can save some effort.
I just ran my first Xenium samples, with a single immunostaining (+ dapi for alignment) after the run. I have multiple mouse brain samples (2 sections each from 5 untreated mice, and 3 treated mice), 297 genes. I want to correlate transcriptomics data to the immunostaining - my first question is how do I integrate the immunostaining data ( + or - staining per cell, but intensity quantification would also be great) in the xenium/squidpy/cellcharter dataframe for analysis?
Furthermore, I have aligned my Xenium brain slices to the Allen reference atlas using the Quint workflow - has anyone tried integrating this with spatial transcriptomics analysis?
Happy to share more information, as well as datasets.
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Hi,
This may not be the right place for this, I'm a noob and I appreciate any advice. I figure someone else must have done this before, so maybe I can save some effort.
I just ran my first Xenium samples, with a single immunostaining (+ dapi for alignment) after the run. I have multiple mouse brain samples (2 sections each from 5 untreated mice, and 3 treated mice), 297 genes. I want to correlate transcriptomics data to the immunostaining - my first question is how do I integrate the immunostaining data ( + or - staining per cell, but intensity quantification would also be great) in the xenium/squidpy/cellcharter dataframe for analysis?
Furthermore, I have aligned my Xenium brain slices to the Allen reference atlas using the Quint workflow - has anyone tried integrating this with spatial transcriptomics analysis?
Happy to share more information, as well as datasets.
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