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High-throughput behavioral analysis in C. elegans

delete2011-06-05
delete339
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OA
AI
N
Nicholas A Swierczek
A
Andrew C. Giles
C
Catharine H. Rankin
R
Rex Kerr *
DOI:10.1038/NMETH.1625delete
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摘要

摘要

En 中文
We designed a real-time computer vision system, the Multi-Worm Tracker (MWT), which can simultaneously quantify the behavior of dozens of Caenorhabditis elegans on a Petri plate at video rates. We examined three traditional behavioral paradigms using this system: spontaneous movement on food, where the behavior changes over tens of minutes; chemotaxis, where turning events must be detected accurately to determine strategy; and habituation of response to tap, where the response is stochastic and changes over time. In each case, manual analysis or automated single-worm tracking would be tedious and time-consuming, but the MWT system allowed rapid quantification of behavior with minimal human effort. Thus, this system will enable large-scale forward and reverse genetic screens for complex behaviors.
Keyword:
NEMATODE CAENORHABDITIS-ELEGANS
SENSORY CILIA
PLASTICITY
TRACKING
SYSTEM
CHEMOTAXIS
MODEL

期刊

Nature Methods 封面图
Nature Methods
IF:
32.1
论文数:
7.2K
被引数:
12.7W

机构

H
Howard Hughes Medical Institute
学者数:
1.2W
论文数: 7.8K
被引数: 6.0W
U
University of British Columbia
学者数:
7.0W
论文数: 6.1W
被引数: 8.6W
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