Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1783667308715048960 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7979664 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT mullersebastianj ahyperelasticmodelforsimulatingcellsinflow AT weiglfranziska ahyperelasticmodelforsimulatingcellsinflow AT bezoldcarina ahyperelasticmodelforsimulatingcellsinflow AT bacherchristian ahyperelasticmodelforsimulatingcellsinflow AT albrechtkrystyna ahyperelasticmodelforsimulatingcellsinflow AT geklestephan ahyperelasticmodelforsimulatingcellsinflow AT mullersebastianj hyperelasticmodelforsimulatingcellsinflow AT weiglfranziska hyperelasticmodelforsimulatingcellsinflow AT bezoldcarina hyperelasticmodelforsimulatingcellsinflow AT bacherchristian hyperelasticmodelforsimulatingcellsinflow AT albrechtkrystyna hyperelasticmodelforsimulatingcellsinflow AT geklestephan hyperelasticmodelforsimulatingcellsinflow |