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A hyperelastic model for simulating cells in flow

In the emerging field of 3D bioprinting, cell damage due to large deformations is considered a main cause for cell death and loss of functionality inside the printed construct. Those deformations, in turn, strongly depend on the mechano-elastic response of the cell to the hydrodynamic stresses exper...

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Autores principales: Müller, Sebastian J., Weigl, Franziska, Bezold, Carina, Bächer, Christian, Albrecht, Krystyna, Gekle, Stephan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979664/
https://www.ncbi.nlm.nih.gov/pubmed/33219464
http://dx.doi.org/10.1007/s10237-020-01397-2
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author Müller, Sebastian J.
Weigl, Franziska
Bezold, Carina
Bächer, Christian
Albrecht, Krystyna
Gekle, Stephan
author_facet Müller, Sebastian J.
Weigl, Franziska
Bezold, Carina
Bächer, Christian
Albrecht, Krystyna
Gekle, Stephan
author_sort Müller, Sebastian J.
collection PubMed
description In the emerging field of 3D bioprinting, cell damage due to large deformations is considered a main cause for cell death and loss of functionality inside the printed construct. Those deformations, in turn, strongly depend on the mechano-elastic response of the cell to the hydrodynamic stresses experienced during printing. In this work, we present a numerical model to simulate the deformation of biological cells in arbitrary three-dimensional flows. We consider cells as an elastic continuum according to the hyperelastic Mooney–Rivlin model. We then employ force calculations on a tetrahedralized volume mesh. To calibrate our model, we perform a series of FluidFM[Formula: see text] compression experiments with REF52 cells demonstrating that all three parameters of the Mooney–Rivlin model are required for a good description of the experimental data at very large deformations up to 80%. In addition, we validate the model by comparing to previous AFM experiments on bovine endothelial cells and artificial hydrogel particles. To investigate cell deformation in flow, we incorporate our model into Lattice Boltzmann simulations via an Immersed-Boundary algorithm. In linear shear flows, our model shows excellent agreement with analytical calculations and previous simulation data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10237-020-01397-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-79796642021-04-05 A hyperelastic model for simulating cells in flow Müller, Sebastian J. Weigl, Franziska Bezold, Carina Bächer, Christian Albrecht, Krystyna Gekle, Stephan Biomech Model Mechanobiol Original Paper In the emerging field of 3D bioprinting, cell damage due to large deformations is considered a main cause for cell death and loss of functionality inside the printed construct. Those deformations, in turn, strongly depend on the mechano-elastic response of the cell to the hydrodynamic stresses experienced during printing. In this work, we present a numerical model to simulate the deformation of biological cells in arbitrary three-dimensional flows. We consider cells as an elastic continuum according to the hyperelastic Mooney–Rivlin model. We then employ force calculations on a tetrahedralized volume mesh. To calibrate our model, we perform a series of FluidFM[Formula: see text] compression experiments with REF52 cells demonstrating that all three parameters of the Mooney–Rivlin model are required for a good description of the experimental data at very large deformations up to 80%. In addition, we validate the model by comparing to previous AFM experiments on bovine endothelial cells and artificial hydrogel particles. To investigate cell deformation in flow, we incorporate our model into Lattice Boltzmann simulations via an Immersed-Boundary algorithm. In linear shear flows, our model shows excellent agreement with analytical calculations and previous simulation data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10237-020-01397-2) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-11-20 2021 /pmc/articles/PMC7979664/ /pubmed/33219464 http://dx.doi.org/10.1007/s10237-020-01397-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Paper
Müller, Sebastian J.
Weigl, Franziska
Bezold, Carina
Bächer, Christian
Albrecht, Krystyna
Gekle, Stephan
A hyperelastic model for simulating cells in flow
title A hyperelastic model for simulating cells in flow
title_full A hyperelastic model for simulating cells in flow
title_fullStr A hyperelastic model for simulating cells in flow
title_full_unstemmed A hyperelastic model for simulating cells in flow
title_short A hyperelastic model for simulating cells in flow
title_sort hyperelastic model for simulating cells in flow
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979664/
https://www.ncbi.nlm.nih.gov/pubmed/33219464
http://dx.doi.org/10.1007/s10237-020-01397-2
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