OME-Zarr: a cloud-optimized bioimaging file format with international community support
Author(s)
Moore, Josh; Basurto-Lozada, Daniela; Besson, Sébastien; Bogovic, John; Bragantini, Jordão; Brown, Eva M.; Burel, Jean-Marie; Casas Moreno, Xavier; de Medeiros, Gustavo; Diel, Erin E.; Gault, David; Ghosh, Satrajit S.; Gold, Ilan; Halchenko, Yaroslav O.; ... Show more Show less
Download418_2023_Article_2209.pdf (4.652Mb)
Publisher with Creative Commons License
Publisher with Creative Commons License
Creative Commons Attribution
Terms of use
Metadata
Show full item recordAbstract
Abstract
A growing community is constructing a next-generation file format (NGFF) for bioimaging to overcome problems of scalability and heterogeneity. Organized by the Open Microscopy Environment (OME), individuals and institutes across diverse modalities facing these problems have designed a format specification process (OME-NGFF) to address these needs. This paper brings together a wide range of those community members to describe the cloud-optimized format itself—OME-Zarr—along with tools and data resources available today to increase FAIR access and remove barriers in the scientific process. The current momentum offers an opportunity to unify a key component of the bioimaging domain—the file format that underlies so many personal, institutional, and global data management and analysis tasks.
Date issued
2023-07-10Department
McGovern Institute for Brain Research at MITPublisher
Springer Berlin Heidelberg
Citation
Moore, Josh, Basurto-Lozada, Daniela, Besson, Sébastien, Bogovic, John, Bragantini, Jordão et al. 2023. "OME-Zarr: a cloud-optimized bioimaging file format with international community support."
Version: Final published version