OME Remote Objects (OMERO): a flexible, model-driven data management system for experimental biology

By Chris Allan, Jean-Marie Burel, Josh Moore, Colin Blackburn, M. Linkert, Scott Loynton, Donald MacDonald, William J. Moore, Carlos Neves, Andrew J. Patterson and 14 more. Nature Methods, 2012

334 citations recorded by the source corpus.

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/.

Subfields: Biophysics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/3b908816b71c2daad8aba743ca9b9d9f872855b3

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Citations in the corpus

High-Content Screening for Quantitative Cell Biology. (2016, background): “Open Microscopy Environment (OME) offers two possible solutions to these problems, with the development of Bio-Formats [53] and the OMERO server [54] (Box 2).”
Reproducibility: Designing a rigorous microscopy experiment: Validating methods and avoiding bias (2019, positive): “Whenever possible, use image management tools that combine image storage and annotation in the same place (Allan et al., 2012).”
Web-based visualisation and analysis of 3D electron-microscopy data from EMDB and PDB (2013, background): “Open Microscopy Environment Remote Objects (OMERO) is a client–server system for managing and visualising images and associated data, originally designed for optical microscopy (Allan et al., 2012).”