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High Resolution, Large Deformation 3D Traction Force Microscopy
Traction Force Microscopy (TFM) is a powerful approach for quantifying cell-material interactions that over the last two decades has contributed significantly to our understanding of cellular mechanosensing and mechanotransduction. In addition, recent advances in three-dimensional (3D) imaging and t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3989172/ https://www.ncbi.nlm.nih.gov/pubmed/24740435 http://dx.doi.org/10.1371/journal.pone.0090976 |
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author | Toyjanova, Jennet Bar-Kochba, Eyal López-Fagundo, Cristina Reichner, Jonathan Hoffman-Kim, Diane Franck, Christian |
author_facet | Toyjanova, Jennet Bar-Kochba, Eyal López-Fagundo, Cristina Reichner, Jonathan Hoffman-Kim, Diane Franck, Christian |
author_sort | Toyjanova, Jennet |
collection | PubMed |
description | Traction Force Microscopy (TFM) is a powerful approach for quantifying cell-material interactions that over the last two decades has contributed significantly to our understanding of cellular mechanosensing and mechanotransduction. In addition, recent advances in three-dimensional (3D) imaging and traction force analysis (3D TFM) have highlighted the significance of the third dimension in influencing various cellular processes. Yet irrespective of dimensionality, almost all TFM approaches have relied on a linear elastic theory framework to calculate cell surface tractions. Here we present a new high resolution 3D TFM algorithm which utilizes a large deformation formulation to quantify cellular displacement fields with unprecedented resolution. The results feature some of the first experimental evidence that cells are indeed capable of exerting large material deformations, which require the formulation of a new theoretical TFM framework to accurately calculate the traction forces. Based on our previous 3D TFM technique, we reformulate our approach to accurately account for large material deformation and quantitatively contrast and compare both linear and large deformation frameworks as a function of the applied cell deformation. Particular attention is paid in estimating the accuracy penalty associated with utilizing a traditional linear elastic approach in the presence of large deformation gradients. |
format | Online Article Text |
id | pubmed-3989172 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39891722014-04-21 High Resolution, Large Deformation 3D Traction Force Microscopy Toyjanova, Jennet Bar-Kochba, Eyal López-Fagundo, Cristina Reichner, Jonathan Hoffman-Kim, Diane Franck, Christian PLoS One Research Article Traction Force Microscopy (TFM) is a powerful approach for quantifying cell-material interactions that over the last two decades has contributed significantly to our understanding of cellular mechanosensing and mechanotransduction. In addition, recent advances in three-dimensional (3D) imaging and traction force analysis (3D TFM) have highlighted the significance of the third dimension in influencing various cellular processes. Yet irrespective of dimensionality, almost all TFM approaches have relied on a linear elastic theory framework to calculate cell surface tractions. Here we present a new high resolution 3D TFM algorithm which utilizes a large deformation formulation to quantify cellular displacement fields with unprecedented resolution. The results feature some of the first experimental evidence that cells are indeed capable of exerting large material deformations, which require the formulation of a new theoretical TFM framework to accurately calculate the traction forces. Based on our previous 3D TFM technique, we reformulate our approach to accurately account for large material deformation and quantitatively contrast and compare both linear and large deformation frameworks as a function of the applied cell deformation. Particular attention is paid in estimating the accuracy penalty associated with utilizing a traditional linear elastic approach in the presence of large deformation gradients. Public Library of Science 2014-04-16 /pmc/articles/PMC3989172/ /pubmed/24740435 http://dx.doi.org/10.1371/journal.pone.0090976 Text en © 2014 Toyjanova et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Toyjanova, Jennet Bar-Kochba, Eyal López-Fagundo, Cristina Reichner, Jonathan Hoffman-Kim, Diane Franck, Christian High Resolution, Large Deformation 3D Traction Force Microscopy |
title | High Resolution, Large Deformation 3D Traction Force Microscopy |
title_full | High Resolution, Large Deformation 3D Traction Force Microscopy |
title_fullStr | High Resolution, Large Deformation 3D Traction Force Microscopy |
title_full_unstemmed | High Resolution, Large Deformation 3D Traction Force Microscopy |
title_short | High Resolution, Large Deformation 3D Traction Force Microscopy |
title_sort | high resolution, large deformation 3d traction force microscopy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3989172/ https://www.ncbi.nlm.nih.gov/pubmed/24740435 http://dx.doi.org/10.1371/journal.pone.0090976 |
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