Methods for automated high-throughput toxicity testing using zebrafish embryos

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6359 LNAI, Issue , 2010, Pages 219-226

  Alshut, Rüdiger ^a   Legradi, Jessica ^a   Liebel, Urban ^a   Yang, Lixin ^a   Van Wezel, Jos ^a   Strähle, Uwe ^a   Mikut, Ralf ^a   Reischl, Markus ^a  

^a KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE TOXICITY; AUTOMATED PROCESS; CHEMICAL SUBSTANCE; CLASSIFICATION RESULTS; CLUSTER COMPUTING SYSTEM; DATA STORAGE; DILUTION SERIES; DOSE-RESPONSE CURVES; DRUG DISCOVERY; FEATURE SELECTION; HIGH-THROUGHPUT; HIGH-THROUGHPUT SCREENING; IMAGE DATA; IMAGE PROCESSING ALGORITHM; IMAGE-BASED; LETHAL DOSE; MICROSCOPE IMAGES; TOXICITY TESTING; ZEBRAFISH EMBRYOS; HIGH THROUGHPUT SCREENING; MEDIAN LETHAL DOSE;

ARTIFICIAL INTELLIGENCE; AUTOMATION; CLUSTER COMPUTING; COMPUTER SYSTEMS; DATA HANDLING; EXPERIMENTS; FEATURE EXTRACTION; GRAPHICAL USER INTERFACES; POTASSIUM IODIDE; THROUGHPUT; TOXICITY; DIGITAL STORAGE; DRUG PRODUCTS; USER INTERFACES;

IMAGE PROCESSING;

EID: 78349288055     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16111-7_25     Document Type: Conference Paper

References (13)

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