A novel computational approach for simultaneous tracking and feature extraction of C. elegans populations in fluid environments

IEEE Transactions on Biomedical Engineering

Volumn 55, Issue 5, 2008, Pages 1539-1549

  Tsechpenakis, Gabriel ^a   Bianchi, Laura ^b   Metaxas, Dimitris N ^c   Driscoll, Monica ^d  

^a University of Miami College of Engineering   (United States)

^b UNIVERSITY OF MIAMI MILLER SCHOOL OF MEDICINE   (United States)

^c RUTGERS UNIVERSITY   (United States)

^d RUTGERS UNIVERSITY   (United States)

Author keywords

Computational analysis of behavior; Machine vision; Multiple C. elegans tracking; Phenotype discrimination

Indexed keywords

FEATURE EXTRACTION; NEUROLOGY;

BIOLOGICAL MECHANISMS; ENVIRONMENTAL FACTORS;

BIOMECHANICS;

ANIMAL BEHAVIOR; ARTICLE; AUTOMATION; CAENORHABDITIS ELEGANS; COMPUTER ANALYSIS; ENVIRONMENTAL FACTOR; GENETIC MODEL; HEREDITY; LIQUID; LOCOMOTION; MOTOR CONTROL; NONHUMAN; SWIMMING;

ANIMALS; ARTIFICIAL INTELLIGENCE; CAENORHABDITIS ELEGANS; ECOSYSTEM; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; POPULATION DYNAMICS; SWIMMING;

EID: 42249115337     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2008.918582     Document Type: Article

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