Quantitative characterization of run-and-tumble statistics in bulk bacterial suspensions

Yongfeng Zhao*, Christina Kurzthaler, Nan Zhou, Jana Schwarz-Linek, Clemence Devailly, Jochen Arlt, Jian-Dong Huang, Wilson C. K. Poon, Thomas Franosch, Vincent A. Martinez, Julien Tailleur

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

We introduce a numerical method to extract the parameters of run-and-tumble dynamics from experimental measurements of the intermediate scattering function. We show that proceeding in Laplace space is unpractical and employ instead renewal processes to work directly in real time. We first validate our approach against data produced using agent-based simulations. This allows us to identify the length and time scales required for an accurate measurement of the motility parameters, including tumbling frequency and swim speed. We compare different models for the run-and-tumble dynamics by accounting for speed variability at the single-cell and population level, respectively. Finally, we apply our approach to experimental data on wild-type Escherichia coli obtained using differential dynamic microscopy.
Original languageEnglish
Article number014612
Pages (from-to)1-10
Number of pages10
JournalPhysical Review E
Issue number1
Publication statusPublished - 19 Jan 2024

Keywords / Materials (for Non-textual outputs)

  • physics.bio-ph
  • cond-mat.soft


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