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

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.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Molecular Life Sciences
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Health Sciences > Histology
Life Sciences > Molecular Biology
Health Sciences > Medical Laboratory Technology
Life Sciences > Cell Biology
Language:English
Date:10 July 2023
Deposited On:04 Oct 2024 12:16
Last Modified:28 Feb 2025 02:37
Publisher:Springer
ISSN:0948-6143
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1007/s00418-023-02209-1
PubMed ID:37428210
Project Information:
  • Funder: H2020
  • Grant ID: 101017536
  • Project Title: EOSC Future - EOSC Future
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  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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