Statistical parameter inference of bacterial swimming strategies

Statistical parameter inference of bacterial swimming strategies

We provide a detailed stochastic description of the swimming motion of an E.coli bacterium in two dimension, where we resolve tumble events in time. For this purpose, we set up two Langevin equations for the orientation angle and speed dynamics. Calculating moments, distribution and autocorrelation...

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Bibliographic Details
Main Authors: Maximilian Seyrich, Zahra Alirezaeizanjani, Carsten Beta, Holger Stark
Format: Article
Language:English
Published: IOP Publishing 2018-01-01
Series:New Journal of Physics
Subjects:
E.coli
run and tumble
chemotaxis
stochastic processes
bacterial swimming strategies
parameter inference
Online Access:https://doi.org/10.1088/1367-2630/aae72c

Internet

https://doi.org/10.1088/1367-2630/aae72c

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