Coarse-grained elastic network modelling: A fast and stable numerical tool to characterize mesenchymal stem cells subjected to AFM nanoindentation measurements

The knowledge of the mechanical properties is the starting point to study the mechanobiology of mesenchymal stem cells and to understand the relationships linking biophysical stimuli to the cellular differentiation process. In experimental biology, Atomic Force Microscopy (AFM) is a common technique...

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Veröffentlicht in:	Materials Science & Engineering C 2021-02, Vol.121, p.111860-111860, Article 111860
Hauptverfasser:	Vaiani, L., Migliorini, E., Cavalcanti-Adam, E.A., Uva, A.E., Fiorentino, M., Gattullo, M., Manghisi, V.M., Boccaccio, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Atomic force microscopy Biological materials Biomechanics Cell material characterization Computer applications Computer Simulation Computing costs Cytoskeleton Differentiation (biology) Elastic deformation Elastic Modulus Elastic network model Engineering Sciences Experimental research Finite element method Formability Humans Life Sciences Material properties Materials science Mathematical models Mathematics Mechanical Phenomena Mechanical properties Mechanics Mesenchymal Stem Cells Meshless methods Microscopy, Atomic Force Modulus of elasticity Nanoindentation Numerical prediction Optimization Quantitative Methods Representation Theory Springs (elastic) Stem cells Stiffness Virtual environments
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