Literature DB >> 33211008

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

Asaf Gal1, Jonathan Saragosti1, Daniel Jc Kronauer1.   

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.
© 2020, Gal et al.

Entities:  

Keywords:  ants; collective behavior; ethology; formicidae; machine learning; machine vision; neuroscience; social behavior; social insects; tracking

Mesh:

Year:  2020        PMID: 33211008      PMCID: PMC7676868          DOI: 10.7554/eLife.58145

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  51 in total

1.  Experience, corpulence and decision making in ant foraging.

Authors:  Elva J H Robinson; Ofer Feinerman; Nigel R Franks
Journal:  J Exp Biol       Date:  2012-08-01       Impact factor: 3.312

2.  Behavioral idiosyncrasy reveals genetic control of phenotypic variability.

Authors:  Julien F Ayroles; Sean M Buchanan; Chelsea O'Leary; Kyobi Skutt-Kakaria; Jennifer K Grenier; Andrew G Clark; Daniel L Hartl; Benjamin L de Bivort
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-07       Impact factor: 11.205

3.  An unsupervised method for quantifying the behavior of paired animals.

Authors:  Ugne Klibaite; Gordon J Berman; Jessica Cande; David L Stern; Joshua W Shaevitz
Journal:  Phys Biol       Date:  2017-02-16       Impact factor: 2.583

4.  The effect of environmental enrichment on behavioral variability depends on genotype, behavior, and type of enrichment.

Authors:  Jamilla Akhund-Zade; Sandra Ho; Chelsea O'Leary; Benjamin de Bivort
Journal:  J Exp Biol       Date:  2019-10-08       Impact factor: 3.312

5.  Social network plasticity decreases disease transmission in a eusocial insect.

Authors:  Nathalie Stroeymeyt; Anna V Grasse; Alessandro Crespi; Danielle P Mersch; Sylvia Cremer; Laurent Keller
Journal:  Science       Date:  2018-11-23       Impact factor: 47.728

6.  orco Mutagenesis Causes Loss of Antennal Lobe Glomeruli and Impaired Social Behavior in Ants.

Authors:  Waring Trible; Leonora Olivos-Cisneros; Sean K McKenzie; Jonathan Saragosti; Ni-Chen Chang; Benjamin J Matthews; Peter R Oxley; Daniel J C Kronauer
Journal:  Cell       Date:  2017-08-10       Impact factor: 41.582

Review 7.  Computational Analysis of Behavior.

Authors:  S E Roian Egnor; Kristin Branson
Journal:  Annu Rev Neurosci       Date:  2016-04-18       Impact factor: 12.449

8.  DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.

Authors:  Alexander Mathis; Pranav Mamidanna; Kevin M Cury; Taiga Abe; Venkatesh N Murthy; Mackenzie Weygandt Mathis; Matthias Bethge
Journal:  Nat Neurosci       Date:  2018-08-20       Impact factor: 24.884

9.  Social regulation of insulin signaling and the evolution of eusociality in ants.

Authors:  Vikram Chandra; Ingrid Fetter-Pruneda; Peter R Oxley; Amelia L Ritger; Sean K McKenzie; Romain Libbrecht; Daniel J C Kronauer
Journal:  Science       Date:  2018-07-27       Impact factor: 47.728

10.  DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning.

Authors:  Jacob M Graving; Daniel Chae; Hemal Naik; Liang Li; Benjamin Koger; Blair R Costelloe; Iain D Couzin
Journal:  Elife       Date:  2019-10-01       Impact factor: 8.140

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  8 in total

Review 1.  A review of 28 free animal-tracking software applications: current features and limitations.

Authors:  Veronica Panadeiro; Alvaro Rodriguez; Jason Henry; Donald Wlodkowic; Magnus Andersson
Journal:  Lab Anim (NY)       Date:  2021-07-29       Impact factor: 12.625

2.  The Mouse Action Recognition System (MARS) software pipeline for automated analysis of social behaviors in mice.

Authors:  Cristina Segalin; Jalani Williams; Tomomi Karigo; May Hui; Moriel Zelikowsky; Jennifer J Sun; Pietro Perona; David J Anderson; Ann Kennedy
Journal:  Elife       Date:  2021-11-30       Impact factor: 8.713

3.  The emergence of a collective sensory response threshold in ant colonies.

Authors:  Asaf Gal; Daniel J C Kronauer
Journal:  Proc Natl Acad Sci U S A       Date:  2022-06-02       Impact factor: 12.779

4.  Colony expansions underlie the evolution of army ant mass raiding.

Authors:  Vikram Chandra; Asaf Gal; Daniel J C Kronauer
Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-01       Impact factor: 11.205

5.  scAnt-an open-source platform for the creation of 3D models of arthropods (and other small objects).

Authors:  Fabian Plum; David Labonte
Journal:  PeerJ       Date:  2021-04-12       Impact factor: 2.984

Review 6.  Behavior Individuality: A Focus on Drosophila melanogaster.

Authors:  Rubén Mollá-Albaladejo; Juan A Sánchez-Alcañiz
Journal:  Front Physiol       Date:  2021-11-30       Impact factor: 4.566

7.  An oxytocin/vasopressin-related neuropeptide modulates social foraging behavior in the clonal raider ant.

Authors:  Ingrid Fetter-Pruneda; Taylor Hart; Yuko Ulrich; Asaf Gal; Peter R Oxley; Leonora Olivos-Cisneros; Margaret S Ebert; Manija A Kazmi; Jennifer L Garrison; Cornelia I Bargmann; Daniel J C Kronauer
Journal:  PLoS Biol       Date:  2021-06-30       Impact factor: 8.029

8.  Automatic mapping of multiplexed social receptive fields by deep learning and GPU-accelerated 3D videography.

Authors:  Christian L Ebbesen; Robert C Froemke
Journal:  Nat Commun       Date:  2022-02-01       Impact factor: 14.919

  8 in total

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