TY  - JOUR
A1  - Husson, Steven J.
A1  - Costa, Wagner Steuer
A1  - Schmitt, Cornelia
A1  - Gottschalk, Alexander
T1  - Keeping track of worm trackers
T2  - WormBook
N2  - C. elegans is used extensively as a model system in the neurosciences due to its well defined nervous system. However, the seeming simplicity of this nervous system in anatomical structure and neuronal connectivity, at least compared to higher animals, underlies a rich diversity of behaviors. The usefulness of the worm in genome-wide mutagenesis or RNAi screens, where thousands of strains are assessed for phenotype, emphasizes the need for computational methods for automated parameterization of generated behaviors. In addition, behaviors can be modulated upon external cues like temperature, O2 and CO2 concentrations, mechanosensory and chemosensory inputs. Different machine vision tools have been developed to aid researchers in their efforts to inventory and characterize defined behavioral “outputs”. Here we aim at providing an overview of different worm-tracking packages or video analysis tools designed to quantify different aspects of locomotion such as the occurrence of directional changes (turns, omega bends), curvature of the sinusoidal shape (amplitude, body bend angles) and velocity (speed, backward or forward movement).
Y1  - 2013
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/25950
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-259507
SN  - 1551-8507
N1  - Copyright: © 2012 Steven J. Husson, Wagner Steuer Costa, Cornelia Schmitt and Alexander Gottschalk. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
SP  - 1
EP  - 17
PB  - [s. n.]
CY  - [s. l.]
ER  -