bioRxivScientific Communication & EducationPreprint
Affordable Caenorhabditis elegans tracking system for classroom use
Abstract
For decades the nematode C. elegans has served as an outstanding research organism owing to its unsurpassed experimental amenability. This advantage has also made this tiny worm an attractive vehicle for science instruction across higher learning institutions. However, the prohibitive cost associated with the automated behavioral assessment of these animals remains an obstacle preventing their full adoption in undergraduate and high school settings. To improve this situation, we developed an inexpensive worm tracking system for use by high school interns and undergraduate students. Over the past two years this tracker has been successfully used by undergraduate students in our introductory Cell and Molecular lab (BSC220) at Illinois State University. Here we describe and demonstrate the use of our inexpensive worm tracking system.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A MULTI-PURPOSE WORM TRACKER BASED ON FIM
Matthias Kiel, Dimitri Berh, … Benjamin Risse·bioRxiv·Jun 21, 2018
- Automatically tracking feeding behavior in populations of foraging C. elegans
E. Bonnard, J. Liu, … M. Scholz·bioRxiv·Jan 20, 2022
- A novel epifluorescence microscope design and soft-ware package to record naturalistic behaviour and cell activity in freely moving Caenorhabditis elegans.
Sebastian N. Wittekindt, Hannah Owens, … Michael Hendricks·bioRxiv·Mar 21, 2025
- Automated scoring of nematode nictation on a textured background
P. D. McClanahan, L. Golinelli, … L. Temmerman·PLOS ONEPeer-reviewed·Aug 1, 2023
- Automated analysis of C. elegans behavior by LabGym: an open-source, AI-powered platform
L Amanda Xu, Hongjiang Liu, … Elizabeth A. Ronan·G3 Genes Genomes GeneticsPeer-reviewed·May 6, 2026
- A Real-Time Automated Deep Learning Workflow for Non-invasive High-Magnification Imaging of C. elegans
Parsa Safaeian, Tasnuva Binte Mahbub, … Salman Sohrabi·BioengineeringPeer-reviewed·Oct 25, 2026