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Updated: May 24, 2026

gP2S, an Information Management System for CryoEM Experiments
Published on: June 10, 2021
OMERO: flexible, model-driven data management for experimental biology
Chris Allan1, Jean-Marie Burel, Josh Moore
1Wellcome Trust Centre for Gene Regulation and Expression, College of Life Sciences, University of Dundee, Dundee, Scotland, UK.
Abstract:
Data-intensive research depends on tools that manage multidimensional, heterogeneous datasets. We built OME Remote Objects (OMERO), a software platform that enables access to and use of a wide range of biological data. OMERO uses a server-based middleware application to provide a unified interface for images, matrices and tables. OMERO's design and flexibility have enabled its use for light-microscopy, high-content-screening, electron-microscopy and even non-image-genotype data. OMERO is open-source software, available at http://openmicroscopy.org/.
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