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Open source bioimage informatics for cell biology

Open source bioimage informatics for cell biology

Research output: Contribution to journalReview article

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Authors

  • Jason R. Swedlow
  • Kevin W. Eliceiri

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Info

Original languageEnglish
Pages (from-to)656-660
Number of pages5
JournalTrends in Cell Biology
Volume19
Issue number11
DOIs
StatePublished - Nov 2009

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.

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  • Elsevier Sponsored Document

    Submitted manuscript, 168 KB, PDF-document

    This document was posted here by permission of the publisher. At the time of the deposit, it included all changes made during peer review, copy editing, and publishing. The U. S. National Library of Medicine is responsible for all links within the document and for incorporating any publisher-supplied amendments or retractions issued subsequently. The published journal article, guaranteed to be such by Elsevier, is available for free, on ScienceDirect, at: http://dx.crossref.org/10.1016/j.tcb.2009.08.007

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