Related Experiment Video
Updated: May 20, 2026

Combining Fluidic Devices with Microscopy and Flow Cytometry to Study Microbial Transport in Porous Media Across Spatial Scales
Published on: November 25, 2020
Diffusive transport without detailed balance in motile bacteria: does microbiology need statistical physics?
1SUPA, School of Physics and Astronomy, University of Edinburgh, JCMB, Kings Buildings, Mayfield Road, Edinburgh EH9 3JZ, UK.
Bacterial motility, or run-and-tumble motion, exhibits diffusion without detailed balance due to environmental variations. This statistical physics model offers insights into microbial movement and experiments.
Area of Science:
- Microbiology
- Statistical Physics
- Biophysics
Background:
- Many bacteria exhibit motility, characterized by run-and-tumble motion.
- This motion is diffusive at large scales but differs from Brownian motion.
- Motility parameters vary with the environment, leading to a lack of detailed balance.
Purpose of the Study:
- To review statistical-mechanical models of bacterial motility.
- To present bacterial motility as a paradigm for diffusion without detailed balance.
- To discuss the utility of statistical physics in microbiology.
Main Methods:
- Review of statistical-mechanical models for bacterial motility.
- Analysis of run-and-tumble dynamics.
- Exploration of diffusion without detailed balance.
Main Results:
- Bacterial motility models highlight diffusion without detailed balance.
- Environmental variations in motility parameters break time-reversal symmetry.
- Lack of detailed balance presents challenges for modelers.
Conclusions:
- Bacterial motility serves as a key example for studying non-equilibrium statistical mechanics.
- Statistical physics provides valuable frameworks for understanding microbial behavior and experiments.
- Understanding diffusion without detailed balance is crucial in microbial systems.
Related Concept Videos
Flagella and Motility in Bacteria
Diffusion
Diffusion
Protein Diffusion in the Membrane
Reynolds Transport Theorem
Microbial Growth Measurement: Indirect Methods

