An image analysis toolbox for high-throughput C. elegans assays.

Nat Methods

Authors	Carolina Wählby Lee Kamentsky Zihan Liu Tammy Riklin-Raviv Annie Conery Eyleen O'Rourke Katherine Sokolnicki Orane Visvikis Vebjorn Ljosa Javier Irazoqui Polina Golland Gary Ruvkun Frederick Ausubel Anne Carpenter
Keywords	Animals Phenotype Algorithms Software Pattern Recognition, Automated High-Throughput Screening Assays Image Processing, Computer-Assisted Caenorhabditis elegans Microscopy, Fluorescence
Abstract	We present a toolbox for high-throughput screening of image-based Caenorhabditis elegans phenotypes. The image analysis algorithms measure morphological phenotypes in individual worms and are effective for a variety of assays and imaging systems. This WormToolbox is available through the open-source CellProfiler project and enables objective scoring of whole-worm high-throughput image-based assays of C. elegans for the study of diverse biological pathways that are relevant to human disease.
Year of Publication	2012
Journal	Nat Methods
Volume	9
Issue	7
Pages	714-6
Date Published	2012 Apr 22
ISSN	1548-7105
URL
DOI	10.1038/nmeth.1984
PubMed ID	22522656
PubMed Central ID	PMC3433711
Links
Grant list	P30 DK043351 / DK / NIDDK NIH HHS / United States U54 EB005149 / EB / NIBIB NIH HHS / United States K99 DK087928 / DK / NIDDK NIH HHS / United States R01 DK070147 / DK / NIDDK NIH HHS / United States R01 AI085581 / AI / NIAID NIH HHS / United States R01 GM089652 / GM / NIGMS NIH HHS / United States R01 GM095672 / GM / NIGMS NIH HHS / United States P01 AI083214 / AI / NIAID NIH HHS / United States R01 AI072508 / AI / NIAID NIH HHS / United States K99DK087928 / DK / NIDDK NIH HHS / United States R01 GM101056 / GM / NIGMS NIH HHS / United States