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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2212.10996 |
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| _version_ | 1866910317241434112 |
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| author | Zhao, Yongfeng Kurzthaler, Christina Zhou, Nan Schwarz-Linek, Jana Devailly, Clemence Arlt, Jochen Huang, Jian-Dong Poon, Wilson C. K. Franosch, Thomas Martinez, Vincent A. Tailleur, Julien |
| author_facet | Zhao, Yongfeng Kurzthaler, Christina Zhou, Nan Schwarz-Linek, Jana Devailly, Clemence Arlt, Jochen Huang, Jian-Dong Poon, Wilson C. K. Franosch, Thomas Martinez, Vincent A. Tailleur, Julien |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2212_10996 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Quantitative characterization of run-and-tumble statistics in bulk bacterial suspensions Zhao, Yongfeng Kurzthaler, Christina Zhou, Nan Schwarz-Linek, Jana Devailly, Clemence Arlt, Jochen Huang, Jian-Dong Poon, Wilson C. K. Franosch, Thomas Martinez, Vincent A. Tailleur, Julien Biological Physics Soft Condensed Matter 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. |
| title | Quantitative characterization of run-and-tumble statistics in bulk bacterial suspensions |
| topic | Biological Physics Soft Condensed Matter |
| url | https://arxiv.org/abs/2212.10996 |