Modelling micropipette aspiration with active particles

G. Ourique, E.F. Teixeira and L.G. Brunnet

Physica A: Statistical Mechanics and its Applications, 2022, vol. 589, issue C

Abstract: The study of dynamical properties of cells is essential to a better understanding of several physiological processes. These properties are directly associated with mechanical parameters experimentally achieved through physical stress. The micropipette aspiration essay has proven an accurate and controllable tool to apply physical stress to the cell. In this work, we explore the numerical modelling of two-dimensional cells using an active multi-particle ring submitted to micropipette aspiration. We correlate simulation parameters with measured data resultant from the simulation, in the same way data would be measured in an experiment, and obtain a complete map of the input parameters and the resulting elastic parameters that could be measured in experiments.

Keywords: Micropipette aspiration; Cells; Elasticity; Active particles; Modelling; Extended body (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:589:y:2022:i:c:s0378437121008992

DOI: 10.1016/j.physa.2021.126661

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