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Trends Cell Biol. 2009 Nov;19(11):656-60. doi: 10.1016/j.tcb.2009.08.007. Epub 2009 Oct 14.

Open source bioimage informatics for cell biology.

Author information

  • 1Wellcome Trust Centre for Gene Regulation and Expression, College of Life Sciences, University of Dundee, Dundee, Scotland DD1 5EH, UK. jason@lifesci.dundee.ac.uk

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.

PMID:
19833518
[PubMed - indexed for MEDLINE]
PMCID:
PMC2789254
Free PMC Article
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