Literature DB >> 23183548

C. elegans tracking and behavioral measurement.

Jirapat Likitlersuang1, Greg Stephens, Konstantine Palanski, William S Ryu.   

Abstract

We have developed instrumentation, image processing, and data analysis techniques to quantify the locomotory behavior of C. elegans as it crawls on the surface of an agar plate. For the study of the genetic, biochemical, and neuronal basis of behavior, C. elegans is an ideal organism because it is genetically tractable, amenable to microscopy, and shows a number of complex behaviors, including taxis, learning, and social interaction. Behavioral analysis based on tracking the movements of worms as they crawl on agar plates have been particularly useful in the study of sensory behavior, locomotion, and general mutational phenotyping. Our system works by moving the camera and illumination system as the worms crawls on a stationary agar plate, which ensures no mechanical stimulus is transmitted to the worm. Our tracking system is easy to use and includes a semi-automatic calibration feature. A challenge of all video tracking systems is that it generates an enormous amount of data that is intrinsically high dimensional. Our image processing and data analysis programs deal with this challenge by reducing the worms shape into a set of independent components, which comprehensively reconstruct the worms behavior as a function of only 3-4 dimensions. As an example of the process we show that the worm enters and exits its reversal state in a phase specific manner.

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Year:  2012        PMID: 23183548      PMCID: PMC3523420          DOI: 10.3791/4094

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  14 in total

1.  Using machine vision to analyze and classify Caenorhabditis elegans behavioral phenotypes quantitatively.

Authors:  Joong-Hwan Baek; Pamela Cosman; Zhaoyang Feng; Jay Silver; William R Schafer
Journal:  J Neurosci Methods       Date:  2002-07-30       Impact factor: 2.390

2.  A circuit for navigation in Caenorhabditis elegans.

Authors:  Jesse M Gray; Joseph J Hill; Cornelia I Bargmann
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-02       Impact factor: 11.205

3.  Automated imaging of neuronal activity in freely behaving Caenorhabditis elegans.

Authors:  Juliette Ben Arous; Yoshinori Tanizawa; Ithai Rabinowitch; Didier Chatenay; William R Schafer
Journal:  J Neurosci Methods       Date:  2010-01-21       Impact factor: 2.390

4.  The fundamental role of pirouettes in Caenorhabditis elegans chemotaxis.

Authors:  J T Pierce-Shimomura; T M Morse; S R Lockery
Journal:  J Neurosci       Date:  1999-11-01       Impact factor: 6.167

Review 5.  Neuronal substrates of complex behaviors in C. elegans.

Authors:  Mario de Bono; Andres Villu Maricq
Journal:  Annu Rev Neurosci       Date:  2005       Impact factor: 12.449

6.  From modes to movement in the behavior of Caenorhabditis elegans.

Authors:  Greg J Stephens; Bethany Johnson-Kerner; William Bialek; William S Ryu
Journal:  PLoS One       Date:  2010-11-16       Impact factor: 3.240

7.  Real-time multimodal optical control of neurons and muscles in freely behaving Caenorhabditis elegans.

Authors:  Jeffrey N Stirman; Matthew M Crane; Steven J Husson; Sebastian Wabnig; Christian Schultheis; Alexander Gottschalk; Hang Lu
Journal:  Nat Methods       Date:  2011-01-16       Impact factor: 28.547

8.  High-throughput behavioral analysis in C. elegans.

Authors:  Nicholas A Swierczek; Andrew C Giles; Catharine H Rankin; Rex A Kerr
Journal:  Nat Methods       Date:  2011-06-05       Impact factor: 28.547

9.  Dimensionality and dynamics in the behavior of C. elegans.

Authors:  Greg J Stephens; Bethany Johnson-Kerner; William Bialek; William S Ryu
Journal:  PLoS Comput Biol       Date:  2008-04-25       Impact factor: 4.475

10.  The Parallel Worm Tracker: a platform for measuring average speed and drug-induced paralysis in nematodes.

Authors:  Daniel Ramot; Brandon E Johnson; Tommie L Berry; Lucinda Carnell; Miriam B Goodman
Journal:  PLoS One       Date:  2008-05-21       Impact factor: 3.240

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  6 in total

1.  Mechanistic analysis of the search behaviour of Caenorhabditis elegans.

Authors:  Liliana C M Salvador; Frederic Bartumeus; Simon A Levin; William S Ryu
Journal:  J R Soc Interface       Date:  2014-01-15       Impact factor: 4.118

2.  Agarose Microchambers for Long-term Calcium Imaging of Caenorhabditis elegans.

Authors:  Michal Turek; Judith Besseling; Henrik Bringmann
Journal:  J Vis Exp       Date:  2015-06-24       Impact factor: 1.355

3.  Automated Analysis of C. elegans Swim Behavior Using CeleST Software.

Authors:  Carolina Ibáñez-Ventoso; Christopher Herrera; Esteban Chen; Douglas Motto; Monica Driscoll
Journal:  J Vis Exp       Date:  2016-12-07       Impact factor: 1.355

4.  Random access parallel microscopy.

Authors:  Mishal Ashraf; Sharika Mohanan; Byu Ri Sim; Anthony Tam; Kiamehr Rahemipour; Denis Brousseau; Simon Thibault; Alexander D Corbett; Gil Bub
Journal:  Elife       Date:  2021-01-12       Impact factor: 8.140

5.  The angular interval between the direction of progression and body orientation in normal, alcohol- and cocaine treated fruit flies.

Authors:  Anna Gakamsky; Efrat Oron; Dan Valente; Partha P Mitra; Daniel Segal; Yoav Benjamini; Ilan Golani
Journal:  PLoS One       Date:  2013-10-16       Impact factor: 3.240

6.  A simple computer vision pipeline reveals the effects of isolation on social interaction dynamics in Drosophila.

Authors:  Guangda Liu; Tanmay Nath; Gerit A Linneweber; Annelies Claeys; Zhengyu Guo; Jin Li; Mercedes Bengochea; Steve De Backer; Barbara Weyn; Manu Sneyders; Hans Nicasy; Peng Yu; Paul Scheunders; Bassem A Hassan
Journal:  PLoS Comput Biol       Date:  2018-08-30       Impact factor: 4.475

  6 in total

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