Massachusetts Institute of Technology
Investigation of viscosity effects on bacteria collective motion using particle image velocimetry
Abstract
dc:description.abstractSwimming bacteria are known to display collective motion resulting from their flagella propulsion. Various models of such collective behavior have been proposed, and different motion patterns are also well-documented. However, no previous research has investigated how contrasts in fluid viscosity would influence the collective motion of swimming bacteria. In this paper, Particle Image Velocimetry (PIV), a commonly-used method to measure nonintrusive, instantaneous and whole-field velocity, is applied to visualize the swimming patterns and behavior of Escherichia coli and Vibrio alginolyticus. Firstly, various PIV post-processing tools are examined; next, different PIV conditions are tested and post-processing methods are optimized to best visualize bacteria collective motion; finally, the influence of viscosity contrast on bacteria behavior is investigated, and the swimming patterns that result from injecting active suspensions of bacteria with fluids of different viscosity are investigated.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Department of Civil and Environmental Engineering.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2017
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Hu, Yinmeng, M. Eng. Massachusetts Institute of Technology
- Advisor dc:contributor.advisor
-
- Ruben Juanes.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/111517
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/111517