Automated phenotype recognition for zebrafish embryo based in vivo high throughput toxicity screening of engineered nano-materials

PLoS ONE

Volumn 7, Issue 4, 2012, Pages

  Liu, Rong ^a   Lin, Sijie ^a   Rallo, Robert ^a,b   Zhao, Yan ^a   Damoiseaux, Robert ^a   Xia, Tian ^a   Lin, Shuo ^a   Nel, Andre ^a   Cohen, Yoram ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITAT ROVIRA I VIRGILI   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ENGINEERED NANOMATERIAL; NANOMATERIAL; UNCLASSIFIED DRUG;

ACCURACY; ARTICLE; AUTOANALYSIS; BODY POSITION; COLOR; CONTROLLED STUDY; EMBRYO; EMBRYO DEVELOPMENT; EMBRYOTOXICITY; FLUORESCENCE IMAGING; HATCHING; HIGH THROUGHPUT SCREENING; HISTOGRAM; IMAGE ANALYSIS; IMAGE QUALITY; IMAGE RETRIEVAL; IMAGING SYSTEM; IN VIVO STUDY; MACHINE LEARNING; NANOTOXICOLOGY; NONHUMAN; PHENOTYPE; PHENOTYPE RECOGNITION; PROCESS DEVELOPMENT; TOXICITY TESTING; VALIDATION PROCESS; ZEBRA FISH; ANIMAL; ANIMAL EMBRYO; BIOLOGICAL MODEL; DRUG EFFECT; IMAGE PROCESSING; METHODOLOGY; PRENATAL DEVELOPMENT;

DANIO RERIO;

ANIMALS; EMBRYO, NONMAMMALIAN; HIGH-THROUGHPUT SCREENING ASSAYS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, BIOLOGICAL; NANOSTRUCTURES; PHENOTYPE; TOXICITY TESTS; ZEBRAFISH;

EID: 84859595367     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0035014     Document Type: Article

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