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First published online October 24, 2007
doi: 10.1242/10.1242/jcs.013623

Journal of Cell Science 120, 3715-3722 (2007)
Published by The Company of Biologists 2007
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Commentary

High throughput microscopy: from raw images to discoveries

Roy Wollman1,* and Nico Stuurman2

1 Department of Molecular and Cellular Biology, University of California, Davis, CA, USA
2 The Howard Hughes Medical Institute and the Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA

* Author for correspondence (e-mail: rwollman{at}ucdavis.edu)

Accepted 17 September 2007

Technological advances in automated microscopy now allow rapid acquisition of many images without human intervention, images that can be used for large-scale screens. The main challenge in such screens is the conversion of the raw images into interpretable information and hence discoveries. This post-acquisition component of image-based screens requires computational steps to identify cells, choose the cells of interest, assess their phenotype, and identify statistically significant `hits'. Designing such an analysis pipeline requires careful consideration of the necessary hardware and software components, image analysis, statistical analysis and data presentation tools. Given the increasing availability of such hardware and software, these types of experiments have come within the reach of individual labs, heralding many interesting new ways of acquiring biological knowledge.

Key words: High-throughput microscopy (HTM), Image analysis, RNAi, Genome-wide screen


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