Open source bioimage informatics for cell biology

Jason R. Swedlow, Kevin W. Eliceiri

    Research output: Contribution to journalReview article

    37 Citations (Scopus)
    292 Downloads (Pure)

    Abstract

    Significant technical advances in imaging, molecular biology and genomics have fueled a revolution in cell biology, in that the molecular and structural processes of the cell are now visualized and measured routinely. Driving much of this recent development has been the advent of computational tools for the acquisition, visualization, analysis and dissemination of these datasets. These tools collectively make up a new subfield of computational biology called bioimage informatics, which is facilitated by open source approaches. We discuss why open source tools for image informatics in cell biology are needed, some of the key general attributes of what make an open source imaging application successful, and point to opportunities for further operability that should greatly accelerate future cell biology discovery.

    Original languageEnglish
    Pages (from-to)656-660
    Number of pages5
    JournalTrends in Cell Biology
    Volume19
    Issue number11
    DOIs
    Publication statusPublished - Nov 2009

    Keywords

    • OPEN MICROSCOPY ENVIRONMENT
    • GREEN FLUORESCENT PROTEIN
    • IMAGE DATA
    • QUANTITATIVE-ANALYSIS
    • OPEN TOOLS
    • SEGMENTATION
    • DATABASE
    • QUANTIFICATION
    • VISUALIZATION
    • MEMBRANE

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