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A cloud-friendly, FAIR, AI-ready, community-driven open format for bioimaging data. :::
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:::{grid-item-card} Community 💬 :link: community-main :link-type: ref :img-top: ./images/contributors-map-light.png
A global community of developers and users working together to streamline bioimaging data management and analysis. :::
:::{grid-item-card} Specifications 📜 :link: specifications-main :link-type: ref :img-top: ./images/spec-screenshot.png
Details for developers and implementers of OME-Zarr on the stable and development releases of the specification. :::
:::{grid-item-card} RFCs ❗ :link: rfc-main :link-type: ref :img-top: ./rfc/1/drawing.png
The documents and discussions through which the community shapes the development of OME-Zarr. Anyone can participate. :::
:::{grid-item-card} Resources 📚 :link: resources-main :link-type: ref :img-top: ./images/resources-screenshot.png
A collection of resources for users and developers, including datasets, tools, publications, and learning materials. :::
:::{grid-item-card} Publications 📢 :link: resources-publications :link-type: ref :img-top: ./images/ngff-paper-figure.png
Papers and preprints written by the OME-NGFF community or using OME-Zarr. :::
:::{grid-item-card} Help Desk ☎️ :link: help-desk-main :link-type: ref :img-top: ./images/hackathons/IMG_9605.jpeg
FAQs and directions on getting support with OME-Zarr. :::
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OME-Zarr is a combination of the Zarr format for cloud-optimized storage of scientific arrays and a custom Open Microscopy Environment (OME) metadata model, tailored for modern bioimaging needs.
It is the technical choice for a Next Generation File Format (NGFF) for bioimaging data. For the background, see Moore, J., Allan, C., Besson, S. et al. OME-NGFF: a next-generation file format for expanding bioimaging data-access strategies. Nature Methods 18, 1496–1498 (2021). doi:10.1038/s41592-021-01326-w
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community/index
contributing/index
specifications/index
rfc/index
resources/index
help-desk/index