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Josh Moore, Jason R. Swedlow, and the OME Consortium (Wellcome Trust Centre for Gene Regulation & Expression, University of Dundee, Dundee, Scotland, UK)Despite advances in imaging instrumentation and analysis algorithms, major informatics challenges remain unsolved: file formats are proprietary, facilities to store and query analysis results are routinely wanting, integration of new algorithms into proprietary packages is difficult at best, and standards for sharing image data are lacking. We maintain an open-source framework to address these limitations called the Open Microscopy Environment. OME has three components -- an open data model for biological imaging, standardised file formats and libraries for file conversion, and applications for image data management and analysis. The OME Data Model provides a common specification for scientific image data. The OME-TIFF file format and the Bio-Formats library allow for converting between file formats, sharing of data between collaborators and interoperability with third party tools like ImageJ. The OMERO server, clients, and API form a single mechanism for remotely accessing image data of all types via Java, C/C++, Python as well as a variety of environments like Matlab. Support for large images from digital pathology is now included.