Evidence map›Paper›PMID 33211008›Full record

ArticleeLife2020

anTraX, a software package for high-throughput video tracking of color-tagged insects.

Asaf Gal, Jonathan Saragosti, Daniel Jc Kronauer

Abstract readEvaluation Study
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Division of labour in colony defence in a clonal ant.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  4. Article
  5. Animal re-identification in video through track clustering.Pattern analysis and applications : PAA · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Pheromone representation in the ant antennal lobe changes with age.bioRxiv : the preprint server for biology · 2024
    Article
  11. Article
  12. NAPS: Integrating pose estimation and tag-based tracking.Methods in ecology and evolution · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. The emergence of a collective sensory response threshold in ant colonies.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  18. Article
  19. Review
  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

3 authors.

Asaf GalLaboratory of Social Evolution and Behavior, The Rockefeller University, New York, United States.ORCID 0000-0003-0834-2649
Jonathan SaragostiLaboratory of Social Evolution and Behavior, The Rockefeller University, New York, United States.
Daniel Jc KronauerLaboratory of Social Evolution and Behavior, The Rockefeller University, New York, United States.ORCID 0000-0002-4103-7729

Funding

The Molecular Underpinnings of Complex Social BehaviorR35GM127007 · NIGMS · ROCKEFELLER UNIVERSITY · PI KRONAUER, DANIEL · 2018 to 2022
$2.6M
Howard Hughes Medical InstituteHuman Frontier Science Program LT001049/2015NIGMS NIH HHS R35 GM127007
6 · The paper itself

Abstract

Recent years have seen a surge in methods to track and analyze animal behavior. Nevertheless, tracking individuals in closely interacting, group-living organisms remains a challenge. Here, we present anTraX, an algorithm and software package for high-throughput video tracking of color-tagged insects. anTraX combines neural network classification of animals with a novel approach for representing tracking data as a graph, enabling individual tracking even in cases where it is difficult to segment animals from one another, or where tags are obscured. The use of color tags, a well-established and robust method for marking individual insects in groups, relaxes requirements for image size and quality, and makes the software broadly applicable. anTraX is readily integrated into existing tools and methods for automated image analysis of behavior to further augment its output. anTraX can handle large-scale experiments with minimal human involvement, allowing researchers to simultaneously monitor many social groups over long time periods.

Indexed as

SoftwareAlgorithmsAnimalsBehavior, AnimalImage Processing, Computer-AssistedInsectaVideo Recordingantscollective behaviorethologyformicidaemachine learningmachine visionneurosciencesocial behaviorsocial insectstracking

Identifiers

PMID33211008
PMCPMC7676868

What OpenQuestion holds

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LicenceCC BY
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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.