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Image-based multi-scale mechanical analysis of strain amplification in neurons embedded in collagen gel.
Chan, Victor W L; Tobin, William R; Zhang, Sijia; Winkelstein, Beth A; Barocas, Victor H; Shephard, Mark S; Picu, Catalin R.
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  • Chan VWL; a Scientific Computational Research Center , Rensselaer Polytechnic Institute, Low Center for Industrial Innocation , Troy , NY , USA.
  • Tobin WR; a Scientific Computational Research Center , Rensselaer Polytechnic Institute, Low Center for Industrial Innocation , Troy , NY , USA.
  • Zhang S; b Department of Bioengineering , University of Pennsylvania , Philadelphia , PA , USA.
  • Winkelstein BA; b Department of Bioengineering , University of Pennsylvania , Philadelphia , PA , USA.
  • Barocas VH; c Department of Biomedical Engineering , University of Minnesota , Minneapolis , MN , USA.
  • Shephard MS; a Scientific Computational Research Center , Rensselaer Polytechnic Institute, Low Center for Industrial Innocation , Troy , NY , USA.
  • Picu CR; a Scientific Computational Research Center , Rensselaer Polytechnic Institute, Low Center for Industrial Innocation , Troy , NY , USA.
Comput Methods Biomech Biomed Engin ; 22(2): 113-129, 2019 Feb.
Article en En | MEDLINE | ID: mdl-30450957
A general multi-scale strategy is presented for modeling the mechanical environment of a group of neurons that were embedded within a collagenous matrix. The results of the multi-scale simulation are used to estimate the local strains that arise in neurons when the extracellular matrix is deformed. The distribution of local strains was found to depend strongly on the configuration of the embedded neurons relative to the loading direction, reflecting the anisotropic mechanical behavior of the neurons. More importantly, the applied strain on the surrounding extracellular matrix is amplified in the neurons for all loading configurations that are considered. In the most severe case, the applied strain is amplified by at least a factor of 2 in 10% of the neurons' volume. The approach presented in this paper provides an extension to the capability of past methods by enabling the realistic representation of complex cell geometry into a multi-scale framework. The simulation results for the embedded neurons provide local strain information that is not accessible by current experimental techniques.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estrés Mecánico / Colágeno / Imagenología Tridimensional / Geles / Neuronas Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Comput Methods Biomech Biomed Engin Asunto de la revista: ENGENHARIA BIOMEDICA / FISIOLOGIA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estrés Mecánico / Colágeno / Imagenología Tridimensional / Geles / Neuronas Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Comput Methods Biomech Biomed Engin Asunto de la revista: ENGENHARIA BIOMEDICA / FISIOLOGIA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido