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A method to analyze the influence of mechanical strain on dermal collagen morphologies
Collagen fibers and their orientation play a major role in the mechanical behavior of soft biological tissue such as skin. Here, we present a proof-of-principle study correlating mechanical properties with collagen fiber network morphologies. A dedicated multiphoton stretching device allows for mech...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8027212/ https://www.ncbi.nlm.nih.gov/pubmed/33828115 http://dx.doi.org/10.1038/s41598-021-86907-7 |
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author | Witte, Maximilian Rübhausen, Michael Jaspers, Sören Wenck, Horst Fischer, Frank |
author_facet | Witte, Maximilian Rübhausen, Michael Jaspers, Sören Wenck, Horst Fischer, Frank |
author_sort | Witte, Maximilian |
collection | PubMed |
description | Collagen fibers and their orientation play a major role in the mechanical behavior of soft biological tissue such as skin. Here, we present a proof-of-principle study correlating mechanical properties with collagen fiber network morphologies. A dedicated multiphoton stretching device allows for mechanical deformations in combination with a simultaneous analysis of its collagen fiber network by second harmonic generation imaging (SHG). The recently introduced Fiber Image Network Evaluation (FINE) algorithm is used to obtain detailed information about the morphology with regard to fiber families in collagen network images. To demonstrate the potential of our method, we investigate an isotropic and an anisotropic ex-vivo dorsal pig skin sample under quasi-static cyclic stretching and relaxation sequences. Families of collagen fibers are found to form a partially aligned collagen network under strain. We find that the relative force uptake is accomplished in two steps. Firstly, fibers align within their fiber families and, secondly, fiber families orient in the direction of force. The maximum alignment of the collagen fiber network is found to be determined by the largest strain. Isotropic and anisotropic samples reveal a different micro structural behavior under repeated deformation leading to a similar force uptake after two stretching cycles. Our method correlates mechanical properties with morphologies in collagen fiber networks. |
format | Online Article Text |
id | pubmed-8027212 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80272122021-04-08 A method to analyze the influence of mechanical strain on dermal collagen morphologies Witte, Maximilian Rübhausen, Michael Jaspers, Sören Wenck, Horst Fischer, Frank Sci Rep Article Collagen fibers and their orientation play a major role in the mechanical behavior of soft biological tissue such as skin. Here, we present a proof-of-principle study correlating mechanical properties with collagen fiber network morphologies. A dedicated multiphoton stretching device allows for mechanical deformations in combination with a simultaneous analysis of its collagen fiber network by second harmonic generation imaging (SHG). The recently introduced Fiber Image Network Evaluation (FINE) algorithm is used to obtain detailed information about the morphology with regard to fiber families in collagen network images. To demonstrate the potential of our method, we investigate an isotropic and an anisotropic ex-vivo dorsal pig skin sample under quasi-static cyclic stretching and relaxation sequences. Families of collagen fibers are found to form a partially aligned collagen network under strain. We find that the relative force uptake is accomplished in two steps. Firstly, fibers align within their fiber families and, secondly, fiber families orient in the direction of force. The maximum alignment of the collagen fiber network is found to be determined by the largest strain. Isotropic and anisotropic samples reveal a different micro structural behavior under repeated deformation leading to a similar force uptake after two stretching cycles. Our method correlates mechanical properties with morphologies in collagen fiber networks. Nature Publishing Group UK 2021-04-07 /pmc/articles/PMC8027212/ /pubmed/33828115 http://dx.doi.org/10.1038/s41598-021-86907-7 Text en © The Author(s) 2021 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 | Article Witte, Maximilian Rübhausen, Michael Jaspers, Sören Wenck, Horst Fischer, Frank A method to analyze the influence of mechanical strain on dermal collagen morphologies |
title | A method to analyze the influence of mechanical strain on dermal collagen morphologies |
title_full | A method to analyze the influence of mechanical strain on dermal collagen morphologies |
title_fullStr | A method to analyze the influence of mechanical strain on dermal collagen morphologies |
title_full_unstemmed | A method to analyze the influence of mechanical strain on dermal collagen morphologies |
title_short | A method to analyze the influence of mechanical strain on dermal collagen morphologies |
title_sort | method to analyze the influence of mechanical strain on dermal collagen morphologies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8027212/ https://www.ncbi.nlm.nih.gov/pubmed/33828115 http://dx.doi.org/10.1038/s41598-021-86907-7 |
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