.png){kind=icon}
.png){kind=icon}
Return
High-throughput behavioral analysis in C. elegans
.png){kind=icon}
OA
AI
DOI：10.1038/NMETH.1625.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
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.
Keywords:
NEMATODE CAENORHABDITIS-ELEGANS
SENSORY CILIA
PLASTICITY
TRACKING
SYSTEM
CHEMOTAXIS
MODEL
Journal
IF:
32.1
Papers:
7.2K
Citations:
12.7W