Publishing and sharing multi-dimensional image data with OMERO

Jean-Marie Burel, Sebastien Besson, Colin Blackburn, Mark Carroll, Richard Ferguson, Helen Flynn, Kenneth Gillen, Roger Leigh, Simon Li, Dominik Lindner, Melissa Linkert, William J. Moore, Balaji Ramalingam, Emil Rozbicki, Aleksandra Tarkowska, Petr Walczysko, Chris Allan, Josh Moore, Jason R. Swedlow (Lead / Corresponding author)

    Research output: Contribution to journalArticlepeer-review

    25 Citations (Scopus)
    206 Downloads (Pure)


    Imaging data are used in the life and biomedical sciences to measure the molecular and structural composition and dynamics of cells, tissues and organisms. Datasets range in size from megabytes (MB) to terabytes (TB) and usually contain a combination of binary pixel data and metadata that describe the acquisition process and any derived results. The OMERO image data management platform allows users to securely share image datasets according to specific permissions levels: data can be held privately, shared with a set of colleagues, or made available via a public URL. Users control access by assigning data to specific Groups with defined membership and access rights. OMERO’s Permission system supports simple data sharing in a lab, collaborative data analysis, and even teaching environments. OMERO software is open source and released by the OME
    Original languageEnglish
    Pages (from-to)441-447
    Number of pages7
    JournalMammalian Genome : Official Journal of the International Mammalian Genome Society
    Issue number9
    Early online date30 Jul 2015
    Publication statusPublished - Oct 2015


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