OMERO: flexible, model-driven data management for experimental biology

Christopher Allan, Jean-Marie Burel, Josh Moore, Colin Blackburn, Melissa Linkert, Scott Loynton, Donald MacDonald, William J. Moore, Carlos Neves, Andrew Patterson, Michael Porter, Aleksandra Tarkowska, Brian Loranger, Jerome Avondo, Ingvar Lagerstedt, Luca Lianas, Simone Leo, Katherine Hands, Ron T. Hay, Ardan PatwardhanChristoph Best, Gerard J. Kleywegt, Gianluigi Zanetti, Jason R. Swedlow

    Research output: Contribution to journalArticle

    205 Citations (Scopus)


    Data-intensive research depends on tools that manage multidimensional, heterogeneous datasets. We built OME Remote Objects (OMERO), a software platform that enables access to and use of a wide range of biological data. OMERO uses a server-based middleware application to provide a unified interface for images, matrices and tables. OMERO's design and flexibility have enabled its use for light-microscopy, high-content-screening, electron-microscopy and even non-image-genotype data. OMERO is open-source software, available at
    Original languageEnglish
    Pages (from-to)245-253
    Number of pages9
    JournalNature Methods
    Issue number3
    Publication statusPublished - 1 Mar 2012

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  • Student Theses

    Quantitative Characterisation of Morphological and Phenotypic Changes During Microbial Cell Differentiation and Multicellular Behaviour

    Author: Porter, M., 2020

    Supervisor: Stanley-Wall, N. (Supervisor) & Swedlow, J. (Supervisor)

    Student thesis: Doctoral ThesisDoctor of Philosophy

    Cite this

    Allan, C., Burel, J-M., Moore, J., Blackburn, C., Linkert, M., Loynton, S., MacDonald, D., Moore, W. J., Neves, C., Patterson, A., Porter, M., Tarkowska, A., Loranger, B., Avondo, J., Lagerstedt, I., Lianas, L., Leo, S., Hands, K., Hay, R. T., ... Swedlow, J. R. (2012). OMERO: flexible, model-driven data management for experimental biology. Nature Methods, 9(3), 245-253.