M-Track: A New Software for Automated Detection of Grooming Trajectories in Mice

PLoS Computational Biology

Volumn 12, Issue 9, 2016, Pages

  Reeves, Sheldon L ^a   Fleming, Kelsey E ^b   Zhang, Lin ^c   Scimemi, Annalisa ^b  

^a State University of New York   (United States)

^b STATE UNIVERSITY OF NEW YORK   (United States)

^c State University of New York   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; MAMMALS; OPEN SOURCE SOFTWARE; OPEN SYSTEMS;

AUTOMATED DETECTION; BEHAVIOURAL STUDIES; BRAIN REGIONS; GAIN INSIGHT; INNATE BEHAVIOURS; PHARMACOLOGICAL MANIPULATION; SIMPLE++; SOCIAL INTERACTIONS; STRESS LEVELS; VERTEBRATE SPECIES;

TRAJECTORIES;

ANIMAL EXPERIMENT; ANIMAL MODEL; C57BL 6 MOUSE; COORDINATION; EXPERIMENTAL MODEL; EXPOSURE; FOREFOOT; GROOMING; HEAD; MEDICAL RESEARCH; MOUSE; NONHUMAN; SOFTWARE; STEREOTYPY; STRESS; VELOCITY; VIDEORECORDING; WILD TYPE MOUSE; ANIMAL; ANIMAL BEHAVIOR; BIOLOGY; C57BL MOUSE; FEMALE; IMAGE PROCESSING; MALE; MOVEMENT (PHYSIOLOGY); PHYSIOLOGY; PROCEDURES;

ANIMALS; BEHAVIOR, ANIMAL; COMPUTATIONAL BIOLOGY; FEMALE; GROOMING; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; MICE; MICE, INBRED C57BL; MOVEMENT; SOFTWARE; VIDEO RECORDING;

EID: 84989344919     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1005115     Document Type: Article

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