OME-Zarr: a cloud-optimized bioimaging file format with international community support
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418_2023_Article_2209.pdf
Size
4.65 MB
Format
Adobe PDF
Checksum (MD5)
ace7c7c26d3c09b17e8a256a3a5d057e
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.
Date Issued
July 10, 2023
Publisher
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
Abstract
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.
MIT Department
McGovern Institute for Brain Research at MIT
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/s00418-023-02209-1
