OME-Zarr: A cloud-optimized bioimaging file format with international community support

Josh Moore, Daniela Basurto-Lozada, Sébastien Besson, John Bogovic, Jordão Bragantini, Eva M Brown, Jean-Marie Burel, Xavier Casas Moreno, Gustavo de Medeiros, Erin E Diel, David Gault, Satrajit S Ghosh, Ilan Gold, Yaroslav O Halchenko, Matthew Hartley, Dave Horsfall, Mark S Keller, Mark Kittisopikul, Gabor Kovacs, Aybüke Küpcü YoldaşKoji Kyoda, Albane le Tournoulx de la Villegeorges, Tong Li, Prisca Liberali, Dominik Lindner, Melissa Linkert, Joel Lüthi, Jeremy Maitin-Shepard, Trevor Manz, Luca Marconato, Matthew McCormick, Merlin Lange, Khaled Mohamed, William Moore, Nils Norlin, Wei Ouyang, Bugra Özdemir, Giovanni Palla, Constantin Pape, Lucas Pelkmans, Tobias Pietzsch, Stephan Preibisch, Martin Prete, Norman Rzepka, Sameeul Samee, Nicholas Schaub, Hythem Sidky, Ahmet Can Solak, David R Stirling, Jonathan Striebel

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskriftPeer review

Sammanfattning

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.

Originalspråkengelska
Sidor (från-till)223-251
TidskriftHistochemistry and Cell Biology
Volym160
Nummer3
Tidigt onlinedatum2023 juli 10
DOI
StatusPublished - 2023

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© 2023. The Author(s).

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