| Affiliation: | (1) Image Informatics and Computational Biology Unit, Laboratory of Genetics National Institute on Aging, National Institutes of Health, 333 Cassell Drive, Baltimore, MD 21224, USA;(2) Division of Gene Regulation and Expression, University of Dundee, Dow Street, Dundee DD1 5EH Scotland, UK;(3) Department of Biology, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA |
| Abstract: | The Open Microscopy Environment (OME) defines a data model and a software implementation to serve as an informatics framework for imaging in biological microscopy experiments, including representation of acquisition parameters, annotations and image analysis results. OME is designed to support high-content cell-based screening as well as traditional image analysis applications. The OME Data Model, expressed in Extensible Markup Language (XML) and realized in a traditional database, is both extensible and self-describing, allowing it to meet emerging imaging and analysis needs. |
