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Random Walk Revisited: Quantification and Comparative Analysis of Drosophila Walking Trajectories

Authors :
Kuo-Ting Tsai
Ya-Hui Chou
Source :
iScience, Vol 19, Iss , Pp 1145-1159 (2019)
Publication Year :
2019
Publisher :
Elsevier, 2019.

Abstract

Summary: Walking trajectory is frequently measured to assess animal behavior. Air-supported spherical treadmills have been developed for real-time monitoring of animal walking trajectories. However, current systems for mice mainly employ computer mouse microcameras (chip-on-board sensors) to monitor ball motion, and these detectors exhibit technical issues with focus and rotation scale. In addition, computational methods to analyze and quantify the “random walk” of organisms are under-developed. In this work, we overcame the hurdle of frame-to-signal translation to develop a treadmill system with camera-based detection. Moreover, we generated a package of mathematical methods to quantify distinct aspects of Drosophila walking trajectories. By extracting and quantifying certain features of walking dynamics with high temporal resolution, we found that depending on their internal state, flies employ different walking strategies to approach environmental cues. This camera-based treadmill system and method package may also be applicable to monitor the walking trajectories of other diverse animal species. : Biological Sciences; Evolutionary Biology; Biophysics; Biomechanics Subject Areas: Biological Sciences, Evolutionary Biology, Biophysics, Biomechanics

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
25890042
Volume :
19
Issue :
1145-1159
Database :
Directory of Open Access Journals
Journal :
iScience
Publication Type :
Academic Journal
Accession number :
edsdoj.664713129954eedba200e71e499b7a4
Document Type :
article
Full Text :
https://doi.org/10.1016/j.isci.2019.08.054