Evidence map›Paper›PMID 31978043›Full record

ArticlePLoS computational biology2020

A system for tracking whisker kinematics and whisker shape in three dimensions.

Rasmus S Petersen, Andrea Colins Rodriguez, Mathew H Evans, Dario Campagner, Michaela S E Loft

Erratum issuedAbstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Whisker-based pre-neuronal and peripheral encoding of surface stickiness.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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  10. Article
  11. Article
  12. Body language signals for rodent social communication.Current opinion in neurobiology · 2021
    Review
  13. Article
  14. Article
  15. WhiskEras: A New Algorithm for Accurate Whisker Tracking.Frontiers in cellular neuroscience · 2020
    Article
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Rasmus S PetersenDivision of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-5607-977X
Andrea Colins RodriguezDivision of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom.ORCID 0000-0003-3584-2251
Mathew H EvansDivision of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom.
Dario CampagnerDivision of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom.
Michaela S E LoftDivision of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/L007282/1Biotechnology and Biological Sciences Research Council BB/ P021603/1Medical Research Council MR/L01064X7/1Medical Research Council MR/P005659/1Medical Research Council MR/P005659/2Wellcome Trust
6 · The paper itself

Abstract

Quantification of behaviour is essential for biology. Since the whisker system is a popular model, it is important to have methods for measuring whisker movements from behaving animals. Here, we developed a high-speed imaging system that measures whisker movements simultaneously from two vantage points. We developed a whisker tracker algorithm that automatically reconstructs 3D whisker information directly from the 'stereo' video data. The tracker is controlled via a Graphical User Interface that also allows user-friendly curation. The algorithm tracks whiskers, by fitting a 3D Bezier curve to the basal section of each target whisker. By using prior knowledge of natural whisker motion and natural whisker shape to constrain the fits and by minimising the number of fitted parameters, the algorithm is able to track multiple whiskers in parallel with low error rate. We used the output of the tracker to produce a 3D description of each tracked whisker, including its 3D orientation and 3D shape, as well as bending-related mechanical force. In conclusion, we present a non-invasive, automatic system to track whiskers in 3D from high-speed video, creating the opportunity for comprehensive 3D analysis of sensorimotor behaviour and its neural basis.

Indexed as

AlgorithmsAnimalsBiomechanical PhenomenaImaging, Three-DimensionalMaleMiceMice, Inbred C57BLVibrissae

Identifiers

PMID31978043
PMCPMC7028309

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.