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OMERO: flexible, model-driven data management for experimental biology

2012; Nature Portfolio; Volume: 9; Issue: 3 Linguagem: Inglês

10.1038/nmeth.1896

1548-7105

Chris Allan, Jean‐Marie Burel, Josh Moore, Colin Blackburn, Melissa Linkert, Scott Loynton, Donald MacDonald, William J. Moore, Carlos Neves, Andrew Patterson, Michael Porter, Aleksandra Tarkowska, Brian Loranger, Jerome Avondo, Ingvar Lagerstedt, Luca Lianas, Simone Leo, Katherine J. Hands, Ronald T. Hay, Ardan Patwardhan, Christoph Best, Gerard J. Kleywegt, Gianluigi Zanetti, Jason R. Swedlow,

Single-cell and spatial transcriptomics

The Open Microscopy Environment Remote Objects (OMERO) software platform provides a server-based system for managing and analyzing microscopy images and non-image data. 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/ .