Multi-Fractal Characterization of Bacterial Swimming Dynamics: A Case Study on Real and Simulated Serratia marcescens

Abstract

To add to the current state of knowledge about bacterial swimming dynamics, in this paper, we study the fractal swimming dynamics of populations of Serratia marcescens bacteria both in vitro and in silico, while accounting for realistic conditions like volume exclusion, chemical interactions, obstacles and distribution of chemoattractant in the environment. While previous research has shown that bacterial motion is non-ergodic, we demonstrate that, besides the non-ergodicity, the bacterial swimming dynamics is multi-fractal in nature. Finally, we demonstrate that the multi-fractal characteristic of bacterial dynamics is strongly affected by bacterial density and chemoattractant concentration.

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Document Details

Document Type
Technical Report
Publication Date
Jun 15, 2017
Accession Number
AD1052425

Entities

People

  • Guopeng Wei
  • Hana Koorehdavoudi
  • Jiang Zhuang
  • Marculescu Radu
  • Metin Sitti
  • Paul Bogdan
  • Rikawright Carlsen

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Bacteria
  • Case Studies
  • Cell Physiological Processes
  • Cells
  • Complex Systems
  • Computational Biology
  • Computational Science
  • Data Science
  • Mathematical Models
  • Microbiology
  • Microorganisms
  • Partial Differential Equations
  • Random Walk
  • Statistical Analysis
  • Systems Biology
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Biology
  • Environmental science

Readers

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  • Computational Modeling and Simulation
  • Immunology and Pathology