BioNGFF is a consortium of universities, research labs producing open-source software and format standards to support OME-Zarr. The Next Generation Data Formats For 21st Century Biology project, supported by Wellcome Trust Technology Development grants programme, combines software developers with experimental biologists, imaging scientists using many different modalities, and data repository experts from the University of Dundee (U.K.), University College London (U.K.), King’s College London (U.K.), Newcastle University (U.K.), European Bioinformatics Institute (U.K.) and Centre for Advanced Imaging (Germany) who will collaborate to design and deliver these new data format technologies for use by the global imaging community. The project supported by Wellcome Trust Technology Development grants.
We currently focus on
- building a Web Viewer to support multi-modal imaging data available as OME-Zarr
- building tools to import public OME-Zarr datasets into OMERO, a well-established data management platform.
- working on the OME-NGFF specification.
- working on Python libraries:
- OME-zarr py A Python library for readind and writing multi-resolution images stored in Zarr filesets.
- OME-zarr models A Python library for reading OME-Zarr metadata.
- Present at the September 2025 community call
- Attend the 2025 International OME-NGFF workshop (10-14/11/2025)
- September 2025 community call:
- September 2025 community call:
- Status update
- Release of omero-cli-zarr v0.7.0rc1
- Release of omero-zarr-pixel-buffer v0.6.0-rc1.
- Q4 2025: Import of plates
- Q4 2025: Investigate import of OME-Zarr v0.5 into OMERO
- Q4 2025: Integration of RFC-5 Coordinate systems and transformations. See Review response
- September 2025
- Validate the writing of OME-Zarr in OME-zarr py using OME-zarr models.
- napari-ome-zarr A napari plugin for reading OME-Zarr data.
