Abstract
Few technologies are more widespread in modern biological laboratories than imaging. Recent advances in optical technologies and instrumentation are providing hitherto unimagined capabilities. Almost all these advances have required the development of software to enable the acquisition, management, analysis and visualization of the imaging data. We review each computational step that biologists encounter when dealing with digital images, the inherent challenges and the overall status of available software for bioimage informatics, focusing on open-source options.
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Change history
20 July 2012
In the version of this article initially published, Nico Stuurman's last name was incorrect. The error has been corrected in the HTML and PDF versions of the article.
29 August 2012
In the version of this article initially published, the disclaimer was omitted. The error has been corrected in the HTML and PDF versions of the article.
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Acknowledgements
We acknowledge our respective funding sources and members of our laboratories for feedback and useful comments, in particular A. Merouane and A. Narayanswamy of the Roysam lab for their assistance in preparing figures, and L. Kamentsky and M. Bray of the Carpenter lab for useful input and edits on the manuscript. A.E.C. and K.W.E. were supported by US National Institutes of Health grants R01 GM089652 (to A.E.C.) and RC2 GM092519 (to K.W.E.).
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J.R.S. is affiliated with Glencoe Software, Inc., a company that contributes to OMERO. M.R.B. is co-founder and co-owner of KNIME.com AG, a company that contributes to the development of the KNIME platform.
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Eliceiri, K., Berthold, M., Goldberg, I. et al. Biological imaging software tools. Nat Methods 9, 697–710 (2012). https://doi.org/10.1038/nmeth.2084
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DOI: https://doi.org/10.1038/nmeth.2084
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