Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: May 16, 2026

C. elegans Tracking and Behavioral Measurement
07:36

C. elegans Tracking and Behavioral Measurement

Published on: November 17, 2012

C. elegans tracking and behavioral measurement.

Jirapat Likitlersuang1, Greg Stephens, Konstantine Palanski

  • 1Donnelly Centre, University of Toronto.

Journal of Visualized Experiments : Jove
|November 28, 2012
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Diffusion deep learning for brain age prediction and longitudinal tracking in children through adulthood.

Imaging neuroscience (Cambridge, Mass.)·2025
Same author

Correction: 'Mechanistic analysis of the search behaviour of <i>Caenorhabditis elegans</i>' (2014), by Salvador <i>et al.</i>

Journal of the Royal Society, Interface·2025
Same author

Improving reconstruction of patient-specific abnormalities in AI-driven fast MRI with an individually adapted diffusion model.

Medical physics·2025
Same author

Artificial intelligence research in radiation oncology: a practical guide for the clinician on concepts and methods.

BJR open·2024
Same author

Multimodal deep learning improves recurrence risk prediction in pediatric low-grade gliomas.

Neuro-oncology·2024
Same author

Automated temporalis muscle quantification and growth charts for children through adulthood.

Nature communications·2023
Same journal

A Video Protocol of a Randomized Controlled Clinical Trial - Electrochemotherapy of Cutaneous Metastases with Reduced Dose Bleomycin (BLESS Trial).

Journal of visualized experiments : JoVE·2026
Same journal

A Standardized Ex Vivo Porcine Oromucosal Model for Evaluating Peptide Fluxes.

Journal of visualized experiments : JoVE·2026
Same journal

Lightweight English Text Classification with Deep Learning Based on Complex System Theory.

Journal of visualized experiments : JoVE·2026
Same journal

Integrating Artificial Intelligence-Assisted Translation Support into English Courses: Effects on Translation Accuracy, Perceived Stress, and Anxiety.

Journal of visualized experiments : JoVE·2026
Same journal

A Toxin-Based Counter-Selection System for Markerless Gene Deletion and High-Density Tn5 Transposon Mutagenesis in Pectobacterium brasiliense.

Journal of visualized experiments : JoVE·2026
Same journal

Seamless Multimodal Human-Robot Communication: Integration Techniques in Human-Computer Interaction.

Journal of visualized experiments : JoVE·2026
See all related articles

We developed a new system to track C. elegans locomotion on agar plates. This method simplifies complex behavioral data into fewer dimensions, revealing phase-specific transitions in worm movement.

Area of Science:

  • Neuroscience
  • Biophysics
  • Genetics

Background:

  • Caenorhabditis elegans (C. elegans) is a model organism for studying behavior due to its genetic tractability and observable complex behaviors.
  • Locomotory behavior analysis in C. elegans is crucial for understanding sensory processes, genetics, and neuronal functions.
  • Previous tracking systems generated high-dimensional data, posing challenges for analysis.

Purpose of the Study:

  • To develop advanced instrumentation and data analysis techniques for quantifying C. elegans locomotion.
  • To overcome the challenge of high-dimensional data generated by video tracking systems.
  • To provide a simplified, low-dimensional representation of worm behavior.

Main Methods:

  • Developed a novel tracking system with a moving camera and illumination to avoid mechanical stimuli.

More Related Videos

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform
07:20

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform

Published on: November 28, 2018

Automated Analysis of C. elegans Swim Behavior Using CeleST Software
08:47

Automated Analysis of C. elegans Swim Behavior Using CeleST Software

Published on: December 7, 2016

Related Experiment Videos

Last Updated: May 16, 2026

C. elegans Tracking and Behavioral Measurement
07:36

C. elegans Tracking and Behavioral Measurement

Published on: November 17, 2012

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform
07:20

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform

Published on: November 28, 2018

Automated Analysis of C. elegans Swim Behavior Using CeleST Software
08:47

Automated Analysis of C. elegans Swim Behavior Using CeleST Software

Published on: December 7, 2016

  • Implemented image processing and data analysis to reduce worm shape data into independent components.
  • Utilized a semi-automatic calibration feature for ease of use.

    • Main Results:

    • The system successfully quantifies locomotory behavior of C. elegans on agar plates.
    • Worm behavior is reconstructed using only 3-4 dimensions, significantly reducing data complexity.
    • Demonstrated phase-specific entry and exit patterns into the reversal state.

    Conclusions:

    • The developed system offers a robust and simplified method for analyzing C. elegans locomotion.
    • This approach facilitates the study of genetic, biochemical, and neuronal underpinnings of behavior.
    • The dimensionality reduction technique provides novel insights into behavioral states.