High-throughput behavioral analysis in C. elegans
| Autor: | Andrew C. Giles, Catharine H. Rankin, Rex Kerr, Nicholas A Swierczek |
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| Rok vydání: | 2011 |
| Předmět: |
Time Factors
Computer science Movement Real-time computing Quantitative analysis of behavior Bioinformatics Tracking (particle physics) Biochemistry Article 03 medical and health sciences 0302 clinical medicine Image Processing Computer-Assisted Animals Habituation Caenorhabditis elegans Molecular Biology Throughput (business) 030304 developmental biology Stochastic Processes 0303 health sciences Behavior Animal biology Chemotaxis fungi Cell Biology biology.organism_classification Behavioral analysis Software 030217 neurology & neurosurgery Biotechnology |
| Zdroj: | Nature methods |
| ISSN: | 1548-7105 1548-7091 |
| Popis: | The Multi-Worm Tracker permits real-time, high-throughput, quantitative analysis of behavior in Caenorhabditis elegans. It should enable screens for genes implicated in complex worm behaviors. Also in this issue, Albrecht and Bargmann apply microfluidics to study worm chemosensory behavior with high spatial and temporal precision. 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. |
| Databáze: | OpenAIRE |
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