Evidence map›Paper›PMID 31765421›Full record

ArticlePloS one2019

MARGO (Massively Automated Real-time GUI for Object-tracking), a platform for high-throughput ethology.

Zach Werkhoven, Christian Rohrsen, Chuan Qin, Björn Brembs, Benjamin de Bivort

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. The larvalScience advances · 2026
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  6. Versatile CRISPR-Cas Tools for Gene Regulation in Zebrafish via an Enhanced Q Binary System.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  7. The larvalbioRxiv : the preprint server for biology · 2026
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  8. Article
  9. The First of Us:bioRxiv : the preprint server for biology · 2025
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  10. Evidence thatbioRxiv : the preprint server for biology · 2025
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  11. Article
  12. The fruit fly,Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Article
  14. Spatiotemporal dynamics of locomotor decisions inbioRxiv : the preprint server for biology · 2024
    Article
  15. Article
  16. Article
  17. A Markerless Pose Estimator Applicable to Limbless Animals.Frontiers in behavioral neuroscience · 2022
    Article
  18. Article
  19. Mechanisms of Variability Underlying Odor-Guided Locomotion.Frontiers in behavioral neuroscience · 2022
    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

5 authors.

Zach WerkhovenDept. of Organismic and Evolutionary Biology & Center for Brain Science, Harvard University, Cambridge, MA, United States of America.ORCID 0000-0003-0611-5864
Christian RohrsenDept. of Organismic and Evolutionary Biology & Center for Brain Science, Harvard University, Cambridge, MA, United States of America.ORCID 0000-0002-4597-9895
Chuan QinDept. of Organismic and Evolutionary Biology & Center for Brain Science, Harvard University, Cambridge, MA, United States of America.
Björn BrembsInstitut für Zoologie - Neurogenetik, Universität Regensburg, Regensburg, Germany.ORCID 0000-0001-7824-7650
Benjamin de BivortDept. of Organismic and Evolutionary Biology & Center for Brain Science, Harvard University, Cambridge, MA, United States of America.ORCID 0000-0001-6165-7696

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fast object tracking in real time allows convenient tracking of very large numbers of animals and closed-loop experiments that control stimuli for many animals in parallel. We developed MARGO, a MATLAB-based, real-time animal tracking suite for custom behavioral experiments. We demonstrated that MARGO can rapidly and accurately track large numbers of animals in parallel over very long timescales, typically when spatially separated such as in multiwell plates. We incorporated control of peripheral hardware, and implemented a flexible software architecture for defining new experimental routines. These features enable closed-loop delivery of stimuli to many individuals simultaneously. We highlight MARGO's ability to coordinate tracking and hardware control with two custom behavioral assays (measuring phototaxis and optomotor response) and one optogenetic operant conditioning assay. There are currently several open source animal trackers. MARGO's strengths are 1) fast and accurate tracking, 2) high throughput, 3) an accessible interface and data output and 4) real-time closed-loop hardware control for for sensory and optogenetic stimuli, all of which are optimized for large-scale experiments.

Indexed as

Behavior, AnimalUser-Computer InterfaceAnimalsArtifactsBehavior Observation TechniquesEthologyImage Processing, Computer-AssistedTime FactorsVideo Recording

Identifiers

PMID31765421
PMCPMC6876843

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.