2020
DOI: 10.3390/e22020188
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Incorporating Cellular Stochasticity in Solid–Fluid Mixture Biofilm Models

Abstract: The dynamics of cellular aggregates is driven by the interplay of mechanochemical processes and cellular activity. Although deterministic models may capture mechanical features, local chemical fluctuations trigger random cell responses, which determine the overall evolution. Incorporating stochastic cellular behavior in macroscopic models of biological media is a challenging task. Herein, we propose hybrid models for bacterial biofilm growth, which couple a two phase solid/fluid mixture description of mechanic… Show more

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Cited by 5 publications
(2 citation statements)
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References 39 publications
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“…Modeling bacterial growth in the biofilm habitat is a complex task due to the need to couple cellular, mechanical and chemical processes acting on different times scales. Many approaches have been proposed, ranging from purely continuous models [8] to agent based descriptions [4-7, 9, 10] and hybrid models combining both [13,14]. Complexity increases when we aim to take bacterial geometry into account, issue that we intend to address here borrowing ideas from immersed boundary (IB) methods [22].…”
Section: Introductionmentioning
confidence: 99%
“…Modeling bacterial growth in the biofilm habitat is a complex task due to the need to couple cellular, mechanical and chemical processes acting on different times scales. Many approaches have been proposed, ranging from purely continuous models [8] to agent based descriptions [4-7, 9, 10] and hybrid models combining both [13,14]. Complexity increases when we aim to take bacterial geometry into account, issue that we intend to address here borrowing ideas from immersed boundary (IB) methods [22].…”
Section: Introductionmentioning
confidence: 99%
“…Modeling bacterial growth in the biofilm habitat is a complex task due to the need to couple cellular, mechanical and chemical processes acting on different times scales. Many approaches have been proposed, ranging from purely continuous models [9] to agent based descriptions [6-8, 10, 11] and hybrid models combining both [12,13]. Complexity increases when we aim to take bacterial geometry into account, issue that we intend to address here borrowing ideas from immersed boundary (IB) methods [21].…”
Section: Introductionmentioning
confidence: 99%