Evidence map›Paper›PMID 23922769›Full record

ArticlePloS one2013

Track-a-worm, an open-source system for quantitative assessment of C. elegans locomotory and bending behavior.

Sijie Jason Wang, Zhao-Wen Wang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. HarnessingSensors (Basel, Switzerland) · 2025
    Review
  10. eNeuro · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. A Compact Imaging Platform for ConductingLife (Basel, Switzerland) · 2023
    Article
  18. Article
  19. A Markerless Pose Estimator Applicable to Limbless Animals.Frontiers in behavioral neuroscience · 2022
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Sijie Jason WangUniversity of Connecticut Health Center, Farmington, Connecticut, United States of America.
Zhao-Wen Wang
UConn Health · US

Funding

Synaptic function of BK channel-interacting proteinsR01MH085927 · NIMH · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI ZHAO-WEN WANG · 2010 to 2026
$6.7M
Regulation of gap junctions by stomatin-like proteinsR01GM083049 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI WANG, ZHAO-WEN · 2008 to 2012
$1.5M
NIGMS NIH HHS 5R01GM083049NIGMS NIH HHS R01 GM083049NIMH NIH HHS 1R01MH085927NIMH NIH HHS R01 MH085927
6 · The paper itself

Abstract

A major challenge of neuroscience is to understand the circuit and gene bases of behavior. C. elegans is commonly used as a model system to investigate how various gene products function at specific tissue, cellular, and synaptic foci to produce complicated locomotory and bending behavior. The investigation generally requires quantitative behavioral analyses using an automated single-worm tracker, which constantly records and analyzes the position and body shape of a freely moving worm at a high magnification. Many single-worm trackers have been developed to meet lab-specific needs, but none has been widely implemented for various reasons, such as hardware difficult to assemble, and software lacking sufficient functionality, having closed source code, or using a programming language that is not broadly accessible. The lack of a versatile system convenient for wide implementation makes data comparisons difficult and compels other labs to develop new worm trackers. Here we describe Track-A-Worm, a system rich in functionality, open in source code, and easy to use. The system includes plug-and-play hardware (a stereomicroscope, a digital camera and a motorized stage), custom software written to run with Matlab in Windows 7, and a detailed user manual. Grayscale images are automatically converted to binary images followed by head identification and placement of 13 markers along a deduced spline. The software can extract and quantify a variety of parameters, including distance traveled, average speed, distance/time/speed of forward and backward locomotion, frequency and amplitude of dominant bends, overall bending activities measured as root mean square, and sum of all bends. It also plots worm travel path, bend trace, and bend frequency spectrum. All functionality is performed through graphical user interfaces and data is exported to clearly-annotated and documented Excel files. These features make Track-A-Worm a good candidate for implementation in other labs.

Indexed as

SoftwareAnimalsBehavior, AnimalCaenorhabditis elegansCalibrationImaging, Three-DimensionalLocomotion

Identifiers

PMID23922769
PMCPMC3724933
OpenAlexW2011082212

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.