Informatics and quantitative analysis in biological imaging

Jason R. Swedlow, Ilya Goldberg, Erik Brauner, Peter K. Sorger

    Research output: Contribution to journalArticle

    183 Citations (Scopus)

    Abstract

    Biological imaging is now a quantitative technique for probing cellular structure and dynamics and is increasingly used for cell-based screens. However, the bioinformatics tools required for hypothesis-driven analysis of digital images are still immature. We are developing the Open Microscopy Environment (OME) as an informatics solution for the storage and analysis of optical microscope image data. OME aims to automate image analysis, modeling, and mining of large sets of images and specifies a flexible data model, a relational database, and an XML-encoded file standard that is usable by potentially any software tool. With this design, OME provides a first step toward biological image informatics.
    Original languageEnglish
    Pages (from-to)100-102
    Number of pages3
    JournalScience
    Volume300
    Issue number5616
    DOIs
    Publication statusPublished - Apr 2003

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