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Open Microscopy Environment

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Open Microscopy Environment
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Informatics for Biological Imaging
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199
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CC Attribution 2.0 Belgium:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Abstract
The Open Microscopy Environment (OME) is an open-source software framework for addressing informatics challenges in biological imaging and analysis: proprietary file formats, lack of storage, and analysis facilities and standards for sharing image data and results. The Java-based OMERO client-server platform and its model-based architecture is applicable to a range of imaging domains, including light and electron microscopy, high-content screening, and recently into applications using non-image data from clinical and genomic studies. Despite significant advances in biological imaging and analysis, major informatics challenges remain unsolved: file formats are proprietary, storage and analysis facilities are lacking, as are standards for sharing image data and results. The Open Microscopy Environment (OME) is an open-source software framework developed to address these challenges [1]. OME has three components—an open data model for biological imaging; standardised file formats (OME-TIFF) and software libraries for file conversion (Bio-Formats [2]); and a software platform for image data management and analysis (OMERO [3]). In this presentation, we discuss the design and use of OMERO. The Java-based OMERO client-server platform [3] comprises an image metadata store, an image data repository, visualization and analysis by remote access, enabling sharing and publishing of image data. OMERO.grid [4] facilitates distributed computing including scripting facility for image processing. OMERO.grid manages processes across nodes, providing distributed background processing, log handling, and several other features, using ZeroC's IceGrid framework [5]. Several third-party applications use the OMERO API (e.g. image-based searching, tracking and automatic image tagging; sophisticated image analysis modules [6]). OMERO's model-based architecture has enabled its extension into a range of imaging domains, including light and electron microscopy, high-content screening, and recently into applications using non-image data from clinical and genomic studies [7]. Our next version, OMERO-5 improves support for large datasets, and reads images directly from their original file format, allowing access by third-party software. OMERO and Bio-Formats run the JCB DataViewer [8] online scientific image publishing system and other institutional image data repositories [9], [10].