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

Chris 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 Patwardhan, Christoph Best, Gerard J. Kleywegt, Gianluigi Zanetti, Jason R. Swedlow
Nature Methods, Volume 9, Number 3, page 245--253 - march 2012
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

BibTex references

  author       = {Allan, C. and Burel, J.-M. and Moore, J. and Blackburn, C. and Linkert, M. and Loynton, S. and MacDonald, D. and Moore, W. and Neves, C. and Patterson, A. and Porter, M. and Tarkowska, A. and Loranger, B. and Avondo, J. and Lagerstedt, I. and Lianas, L. and Leo, S. and Hands, K. and Hay, R. and Patwardhan, A. and Best, C. and Kleywegt, G. and Zanetti, G. and Swedlow, J.},
  title        = {OMERO: flexible, model-driven data management for experimental biology},
  journal      = {Nature Methods},
  number       = {3},
  volume       = {9},
  pages        = {245--253},
  month        = {march},
  year         = {2012},
  keywords     = {imaging, bioinformatics, microscopy},
  issn         = {1548-7091},
  doi          = {10.1038/nmeth.1896},
  url          = {},

Other publications in the database

» Chris Allan
» Josh Moore
» Aleksandra Tarkowska
» Luca Lianas
» Simone Leo
» Christoph Best
» Gianluigi Zanetti
» Jason R. Swedlow