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

dc.contributor.authorKamentsky, Lee
dc.contributor.authorLiu, Zihan H.
dc.contributor.authorRiklin-Raviv, Tammy
dc.contributor.authorConery, Annie L.
dc.contributor.authorO'Rourke, Eyleen J.
dc.contributor.authorSokolnicki, Katherine L.
dc.contributor.authorVisvikis, Orane
dc.contributor.authorLjosa, Vebjorn
dc.contributor.authorIrazoqui, Javier E.
dc.contributor.authorGolland, Polina
dc.contributor.authorRuvkun, Gary
dc.contributor.authorAusubel, Frederick M.
dc.contributor.authorCarpenter, Anne E.
dc.contributor.authorWahlby, Carolina
dc.date.accessioned2014-05-16T18:03:35Z
dc.date.available2014-05-16T18:03:35Z
dc.date.issued2012-04
dc.date.submitted2011-10
dc.identifier.issn1548-7091
dc.identifier.issn1548-7105
dc.identifier.urihttp://hdl.handle.net/1721.1/87039
dc.description.abstractWe 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.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (U54 EB005149)en_US
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/nmeth.1984en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.rights.urien_US
dc.sourcePMCen_US
dc.titleAn image analysis toolbox for high-throughput C. elegans assaysen_US
dc.typeArticleen_US
dc.identifier.citationWählby, Carolina, Lee Kamentsky, Zihan H Liu, Tammy Riklin-Raviv, Annie L Conery, Eyleen J O’Rourke, Katherine L Sokolnicki, et al. “An Image Analysis Toolbox for High-Throughput C. Elegans Assays.” Nature Methods 9, no. 7 (April 22, 2012): 714–716.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorRiklin-Raviv, Tammyen_US
dc.contributor.mitauthorGolland, Polinaen_US
dc.relation.journalNature Methodsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsWählby, Carolina; Kamentsky, Lee; Liu, Zihan H; Riklin-Raviv, Tammy; Conery, Annie L; O'Rourke, Eyleen J; Sokolnicki, Katherine L; Visvikis, Orane; Ljosa, Vebjorn; Irazoqui, Javier E; Golland, Polina; Ruvkun, Gary; Ausubel, Frederick M; Carpenter, Anne Een_US
dc.identifier.orcidhttps://orcid.org/0000-0003-2516-731X
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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