OME-NGFF: a next-generation file format for expanding bioimaging data-access strategies

2021182 citationsJournal Articlehybrid Open Access

Authors

Josh Moore · University of Dundee

Chris Allan

Sébastien Besson · University of Dundee

Jean‐Marie Burel · University of Dundee

Erin E. Diel

David Gault · University of Dundee

Kevin Kozlowski

Dominik Lindner · University of Dundee

Abstract

The rapid pace of innovation in biological imaging and the diversity of its applications have prevented the establishment of a community-agreed standardized data format. We propose that complementing established open formats such as OME-TIFF and HDF5 with a next-generation file format such as Zarr will satisfy the majority of use cases in bioimaging. Critically, a common metadata format used in all these vessels can deliver truly findable, accessible, interoperable and reusable bioimaging data.

Topics & Keywords

Cell Image Analysis Techniques Scientific Computing and Data Management Genetics, Bioinformatics, and Biomedical Research

UN Sustainable Development Goals

Industry, innovation and infrastructure

Publication Details

Published in: Nature Methods

Volume 18, Issue 12, pp. 1496-1498

DOI: 10.1038/s41592-021-01326-w

Field-Weighted Citation Impact: 32.71