2017
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0173433
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pmid/28453566
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/eissn/1932-6203
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_2022DB22ECED0
info:eu-repo/semantics/openAccess , Copying allowed only for non-profit organizations , https://serval.unil.ch/disclaimer
V. Uhlmann et al., « FlyLimbTracker: An active contour based approach for leg segment tracking in unmarked, freely behaving Drosophila. », Serveur académique Lausannois, ID : 10.1371/journal.pone.0173433
Understanding the biological underpinnings of movement and action requires the development of tools for quantitative measurements of animal behavior. Drosophila melanogaster provides an ideal model for developing such tools: the fly has unparalleled genetic accessibility and depends on a relatively compact nervous system to generate sophisticated limbed behaviors including walking, reaching, grooming, courtship, and boxing. Here we describe a method that uses active contours to semi-automatically track body and leg segments from video image sequences of unmarked, freely behaving D. melanogaster. We show that this approach yields a more than 6-fold reduction in user intervention when compared with fully manual annotation and can be used to annotate videos with low spatial or temporal resolution for a variety of locomotor and grooming behaviors. FlyLimbTracker, the software implementation of this method, is open-source and our approach is generalizable. This opens up the possibility of tracking leg movements in other species by modifications of underlying active contour models.