Evidence map›Paper›PMID 25033081›Full record

ArticlePLoS computational biology2014

CeleST: computer vision software for quantitative analysis of C. elegans swim behavior reveals novel features of locomotion.

Christophe Restif, Carolina Ibáñez-Ventoso, Mehul M Vora, Suzhen Guo, Dimitris Metaxas, Monica Driscoll

Abstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed
–field-weighted citation impact
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

90 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Discovery of TDP-43 aggregation inhibitorsbioRxiv : the preprint server for biology · 2026
    Article
  8. High-Throughput Toxicity Screening withEnvironmental science & technology · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Parental age selection in C. elegans influences progeny stress resistance capacity.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Automated Platforms inMicromachines · 2025
    Review
  19. Article
  20. Article

30 more citing papers are in PubMed but not listed here.

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

6 authors.

Christophe RestifCenter for Computational Biomedicine Imaging and Modeling, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America.
Carolina Ibáñez-VentosoDepartment of Molecular Biology and Biochemistry, Nelson Biological Laboratories, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America.
Mehul M VoraDepartment of Molecular Biology and Biochemistry, Nelson Biological Laboratories, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America.
Suzhen GuoDepartment of Molecular Biology and Biochemistry, Nelson Biological Laboratories, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America.
Dimitris MetaxasCenter for Computational Biomedicine Imaging and Modeling, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America.
Monica DriscollDepartment of Molecular Biology and Biochemistry, Nelson Biological Laboratories, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America.

Funding

Genetics of Sarcopenia &Muscle Healthspan in C.elegansR01AG024882 · NIA · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI DRISCOLL, MONICA A. · 2004 to 2009
$1.9M
MicroRNA Modulation of Aging & HealthspanR01AG033858 · NIA · RUTGERS, THE STATE UNIV OF N.J. · PI DRISCOLL, MONICA A. · 2010 to 2014
$1.5M
Bio-computational Image Analysis to Define Indicators of C. elegans HealthspanR21AG027513 · NIA · RUTGERS, THE STATE UNIV OF N.J. · PI DRISCOLL, MONICA A. · 2006 to 2007
$290k
NIA NIH HHS AG027513NIA NIH HHS AG033858NIA NIH HHS R01 AG024882NIA NIH HHS R01 AG033858NIA NIH HHS R21 AG027513
6 · The paper itself

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.

Indexed as

SoftwareAnimalsCaenorhabditis elegansComputational BiologyDatabases, FactualModels, BiologicalPhenotypeSwimming

Identifiers

PMID25033081
PMCPMC4102393

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.