> Details

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.; Hartley, Matthew; Horsfall, Dave; Keller, Mark S.; Kittisopikul, Mark; Kovacs, Gabor; Küpcü Yoldaş, Aybüke; Kyoda, Koji; le Tournoulx de la Villegeorges, Albane; Li, Tong; Liberali, Prisca; [...]

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

Reference
management

Bookmarks

Remove from
bookmarks

Share this on Whatsapp

Close

Bookmarks



You can manage bookmarks using lists, please log in to your user account for this.
  • Media type: E-Article
  • Title: OME-Zarr: a cloud-optimized bioimaging file format with international community support
  • Contributor: 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.; Hartley, Matthew; Horsfall, Dave; Keller, Mark S.; Kittisopikul, Mark; Kovacs, Gabor; Küpcü Yoldaş, Aybüke; Kyoda, Koji; le Tournoulx de la Villegeorges, Albane; Li, Tong; Liberali, Prisca; [...]
  • imprint: Springer Science and Business Media LLC, 2023
  • Published in: Histochemistry and Cell Biology
  • Language: English
  • DOI: 10.1007/s00418-023-02209-1
  • ISSN: 0948-6143; 1432-119X
  • Keywords: Cell Biology ; Medical Laboratory Technology ; Molecular Biology ; Histology
  • Origination:
  • Footnote:
  • Description: <jats:title>Abstract</jats:title><jats:p>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.</jats:p>