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 combines software developers with experimental biologists, imaging scientists using many different modalities, and data repository experts 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 and tools to import public OME-Zarr datasets into OMERO, a well-established data management platform.

• OME-NGFF, next-generation file formats. See ngff for the specification
• 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.