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Motile parameters of cell migration in anisotropic environment derived by speed power spectrum fitting with double exponential decay

Authors
  • Liu, Yan-Ping1
  • Li, Xiang1, 2
  • Qu, Jing1
  • Gao, Xue-Juan1
  • He, Qing-Zu1
  • Liu, Li-Yu3
  • Liu, Ru-Chuan3
  • Shuai, Jian-Wei1, 2, 4
  • 1 Xiamen University, Department of Physics, Xiamen, 361005, China , Xiamen (China)
  • 2 Xiamen University, State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, Xiamen, 361102, China , Xiamen (China)
  • 3 Chongqing University, College of Physics, Chongqing, 401331, China , Chongqing (China)
  • 4 National Institute for Big Data in Healthcare at Xiamen University, Xiamen, 361102, China , Xiamen (China)
Type
Published Article
Journal
Frontiers of Physics
Publisher
Higher Education Press
Publication Date
Nov 15, 2019
Volume
15
Issue
1
Identifiers
DOI: 10.1007/s11467-019-0929-9
Source
Springer Nature
Keywords
License
Yellow

Abstract

Cell migration through anisotropic microenvironment is critical to a wide variety of physiological and pathological processes. However, adequate analytical tools to derive motile parameters to characterize the anisotropic migration are lacking. Here, we proposed a method to obtain the four motile parameters of migration cells based on the anisotropic persistent random walk model which is described by two persistence times and two migration speeds at perpendicular directions. The key process is to calculate the velocity power spectra of cell migration along intrinsically perpendicular directions respectively, then to apply maximum likelihood estimation to derive the motile parameters from the power spectra fitting with double exponential decay. The simulation results show that the averaged persistence times and the corrected migration speeds can be good estimations for motile parameters of cell migration.

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