Literature DB >> 32846185

High-throughput animal tracking in chemobehavioral phenotyping: Current limitations and future perspectives.

Jason Henry1, Donald Wlodkowic2.   

Abstract

Behavioral phenotyping is an essential part of neuro-active drug discovery and predictive neurotoxicology. Due to limitations of conventional rodent in vivo models, chemobehavioral phenotypic analysis utilizing innovative small model organisms; such as nematodes, planarians and zebrafish are emerging as distinctively advantageous for high-throughput phenotypic discovery of neuroceuticals and evaluating deleterious effects of industrial pollutants on the central nervous system. Digital film recording with subsequent analysis of video sequences using specialised animal tracking software has become a standard in obtaining behavioral biometric data. At present animal tracking algorithms are largely capable of detecting and tracking small number of animals and extracting quantitative endpoints associated with specific behavioral traits based on reconstruction of movement trajectories and occupancy heatmaps. However, despite recent and significant progress in development of diverse proxy biological models, the software algorithms still lack the ability to track multiple organisms on a large scale, automatically generate behavioral fingerprints and utilize intensive computational approaches to mine rich biometric data. This creates a significant bottleneck for effective high-throughput chemobehavioral screening in drug discovery and neurotoxicology. This review outlines recent advances as well as limitations of high-throughput animal tracking and provides an outlook on future developments in rapidly evolving field of neurobehavioral phenomics.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Animal; Behaviour; Pharmacology; Toxicology; Tracking; Video

Mesh:

Year:  2020        PMID: 32846185     DOI: 10.1016/j.beproc.2020.104226

Source DB:  PubMed          Journal:  Behav Processes        ISSN: 0376-6357            Impact factor:   1.777


  4 in total

1.  Movement and Distribution of Cryptolestes ferrugineus (Coleoptera: Laemophloeidae) Adults Under Different Temperature Differences in Different Lengths of Horizontal Grain Columns.

Authors:  T Anukiruthika; Digvir S Jayas; Fuji Jian
Journal:  J Insect Sci       Date:  2022-05-01       Impact factor: 2.066

2.  Automated analysis of activity, sleep, and rhythmic behaviour in various animal species with the Rtivity software.

Authors:  Rui F O Silva; Brígida R Pinho; Nuno M Monteiro; Miguel M Santos; Jorge M A Oliveira
Journal:  Sci Rep       Date:  2022-03-09       Impact factor: 4.379

3.  Sensory-Motor Perturbations in Larval Zebrafish (Danio rerio) Induced by Exposure to Low Levels of Neuroactive Micropollutants during Development.

Authors:  Jason Henry; Yutao Bai; Florian Kreuder; Minna Saaristo; Jan Kaslin; Donald Wlodkowic
Journal:  Int J Mol Sci       Date:  2022-08-12       Impact factor: 6.208

Review 4.  Frontiers in quantifying wildlife behavioural responses to chemical pollution.

Authors:  Michael G Bertram; Jake M Martin; Erin S McCallum; Lesley A Alton; Jack A Brand; Bryan W Brooks; Daniel Cerveny; Jerker Fick; Alex T Ford; Gustav Hellström; Marcus Michelangeli; Shinichi Nakagawa; Giovanni Polverino; Minna Saaristo; Andrew Sih; Hung Tan; Charles R Tyler; Bob B M Wong; Tomas Brodin
Journal:  Biol Rev Camb Philos Soc       Date:  2022-03-01
  4 in total

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