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

Nature Methods

Volumn 9, Issue 7, 2012, Pages 714-716

  Wählby, Carolina ^a,b   Kamentsky, Lee ^a   Liu, Zihan H ^a   Riklin Raviv, Tammy ^c   Conery, Annie L ^d   O'Rourke, Eyleen J ^d   Sokolnicki, Katherine L ^a   Visvikis, Orane ^d   Ljosa, Vebjorn ^a   Irazoqui, Javier E ^d   Golland, Polina ^c   Ruvkun, Gary ^d   Ausubel, Frederick M ^d   Carpenter, Anne E ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b UPPSALA UNIVERSITY   (Sweden)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^d MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ASSAY; CAENORHABDITIS ELEGANS; COMPUTER PROGRAM; CONTROLLED STUDY; HIGH THROUGHPUT SCREENING; IMAGE ANALYSIS; IMAGING SYSTEM; MACHINE LEARNING; MICROBIOLOGY; MICROSCOPE; PHENOTYPE; PRIORITY JOURNAL; SCORING SYSTEM; WORM;

ALGORITHMS; ANIMALS; CAENORHABDITIS ELEGANS; HIGH-THROUGHPUT SCREENING ASSAYS; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROSCOPY, FLUORESCENCE; PATTERN RECOGNITION, AUTOMATED; PHENOTYPE; SOFTWARE;

CAENORHABDITIS ELEGANS;

EID: 84863195344     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/nmeth.1984     Document Type: Article

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