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Publishing and sharing multi-dimensional image data with OMERO

Authors :
Burel, Jean-Marie
Besson, Sébastien
Blackburn, Colin
Carroll, Mark
Ferguson, Richard K.
Flynn, Helen
Gillen, Kenneth
Leigh, Roger
Li, Simon
Lindner, Dominik
Linkert, Melissa
Moore, William J.
Ramalingam, Balaji
Rozbicki, Emil
Tarkowska, Aleksandra
Walczysko, Petr
Allan, Chris
Moore, Josh
Swedlow, Jason R.
Source :
Mammalian Genome
Publisher :
Springer Nature

Abstract

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 to terabytes 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 Consortium at www.openmicroscopy.org.

Details

Language :
English
ISSN :
09388990
Volume :
26
Issue :
9-10
Database :
OpenAIRE
Journal :
Mammalian Genome
Accession number :
edsair.pmid.dedup....202eb95be2b1cf5062c207a44362ac1b
Full Text :
https://doi.org/10.1007/s00335-015-9587-6