TY - JOUR
T1 - Numerical estimation of 3D mechanical forces exerted by cells on non-linear materials
AU - Palacio, J.
AU - Jorge-Peñas, A.
AU - Muñoz-Barrutia, A.
AU - Ortiz-de-Solorzano, C.
AU - de Juan-Pardo, E.
AU - García-Aznar, J. M.
PY - 2013/1/4
Y1 - 2013/1/4
N2 - The exchange of physical forces in both cell-cell and cell-matrix interactions play a significant role in a variety of physiological and pathological processes, such as cell migration, cancer metastasis, inflammation and wound healing. Therefore, great interest exists in accurately quantifying the forces that cells exert on their substrate during migration. Traction Force Microscopy (TFM) is the most widely used method for measuring cell traction forces. Several mathematical techniques have been developed to estimate forces from TFM experiments. However, certain simplifications are commonly assumed, such as linear elasticity of the materials and/or free geometries, which in some cases may lead to inaccurate results. Here, cellular forces are numerically estimated by solving a minimization problem that combines multiple non-linear FEM solutions. Our simulations, free from constraints on the geometrical and the mechanical conditions, show that forces are predicted with higher accuracy than when using the standard approaches.
AB - The exchange of physical forces in both cell-cell and cell-matrix interactions play a significant role in a variety of physiological and pathological processes, such as cell migration, cancer metastasis, inflammation and wound healing. Therefore, great interest exists in accurately quantifying the forces that cells exert on their substrate during migration. Traction Force Microscopy (TFM) is the most widely used method for measuring cell traction forces. Several mathematical techniques have been developed to estimate forces from TFM experiments. However, certain simplifications are commonly assumed, such as linear elasticity of the materials and/or free geometries, which in some cases may lead to inaccurate results. Here, cellular forces are numerically estimated by solving a minimization problem that combines multiple non-linear FEM solutions. Our simulations, free from constraints on the geometrical and the mechanical conditions, show that forces are predicted with higher accuracy than when using the standard approaches.
KW - Finite element modeling
KW - Inverse analysis
KW - Mechano-sensing
KW - Non-linear mechanics
KW - Traction Force Microscopy
UR - http://www.scopus.com/inward/record.url?scp=84871441439&partnerID=8YFLogxK
U2 - 10.1016/j.jbiomech.2012.10.009
DO - 10.1016/j.jbiomech.2012.10.009
M3 - Article
C2 - 23141954
AN - SCOPUS:84871441439
SN - 0021-9290
VL - 46
SP - 50
EP - 55
JO - Journal of Biomechanics
JF - Journal of Biomechanics
IS - 1
ER -