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

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

doi:10.1101/2023.02.17.528834

Public

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

Published in bioRxiv : the preprint server for biology • May 7, 2023

NobleIDark:/48914/w1/20260526/28460330Record on NobleID

Authors:

Josh Moore

,

Daniela Basurto-Lozada

,

Sébastien Besson

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 specifi...

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