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CeleST: computer vision software for quantitative analysis of C. elegans swim behavior reveals novel features of locomotion
- Source :
- PLoS Computational Biology, Vol 10, Iss 7, p e1003702 (2014), PLoS Computational Biology
- Publication Year :
- 2014
- Publisher :
- Public Library of Science (PLoS), 2014.
-
Abstract
- In the effort to define genes and specific neuronal circuits that control behavior and plasticity, the capacity for high-precision automated analysis of behavior is essential. We report on comprehensive computer vision software for analysis of swimming locomotion of C. elegans, a simple animal model initially developed to facilitate elaboration of genetic influences on behavior. C. elegans swim test software CeleST tracks swimming of multiple animals, measures 10 novel parameters of swim behavior that can fully report dynamic changes in posture and speed, and generates data in several analysis formats, complete with statistics. Our measures of swim locomotion utilize a deformable model approach and a novel mathematical analysis of curvature maps that enable even irregular patterns and dynamic changes to be scored without need for thresholding or dropping outlier swimmers from study. Operation of CeleST is mostly automated and only requires minimal investigator interventions, such as the selection of videotaped swim trials and choice of data output format. Data can be analyzed from the level of the single animal to populations of thousands. We document how the CeleST program reveals unexpected preferences for specific swim “gaits” in wild-type C. elegans, uncovers previously unknown mutant phenotypes, efficiently tracks changes in aging populations, and distinguishes “graceful” from poor aging. The sensitivity, dynamic range, and comprehensive nature of CeleST measures elevate swim locomotion analysis to a new level of ease, economy, and detail that enables behavioral plasticity resulting from genetic, cellular, or experience manipulation to be analyzed in ways not previously possible.
- Subjects :
- Computer and Information Sciences
Databases, Factual
Computer science
Biophysics
Crawling
Research and Analysis Methods
Models, Biological
Nervous System
Cellular and Molecular Neuroscience
Invertebrate Genetics
Behavioral Neuroscience
Animal model
Software
Model Organisms
Behavioral plasticity
Computer software
Genetics
Animals
Computer vision
Caenorhabditis elegans
Molecular Biology
lcsh:QH301-705.5
Ecology, Evolution, Behavior and Systematics
Swimming
Ecology
business.industry
Computational Biology
Biology and Life Sciences
Software Engineering
Animal Models
Motor System
Phenotype
Computational Theory and Mathematics
Neuronal circuits
Quantitative analysis (finance)
lcsh:Biology (General)
Modeling and Simulation
Outlier
Artificial intelligence
Anatomy
business
Animal Genetics
Research Article
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 15537358
- Volume :
- 10
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- PLoS Computational Biology
- Accession number :
- edsair.doi.dedup.....4287ea524919012750cfd8bdd4f53d66