TY - JOUR
T1 - MechanoBioCAD
T2 - a generalized semi-automated computational tool for mechanobiological studies
AU - Baban, Navajit S.
AU - Stubbs, Christopher J.
AU - Song, Yong Ak
N1 - Publisher Copyright:
© 2025 The Royal Society of Chemistry.
PY - 2025/3/7
Y1 - 2025/3/7
N2 - Soft micropillar arrays enable detailed studies of cellular mechanotransduction and biomechanics using traditional beam-bending models. However, they often rely on simplified assumptions, leading to significant errors in force estimation. We present MechanoBioCAD (MBC), a finite element method (FEM)-based tool designed specifically for micropillar research and error estimation. Unlike traditional methods, MBC leverages the principle of minimizing total potential energy, avoiding errors associated with beam bending assumptions. MBC automates FEM model generation, analysis, and post-processing, providing accurate force quantification based on deflection input. The tool addresses critical issues such as substrate deformation, interpillar interactions, improper load application heights, and nonlinear effects. Applied to fibroblast cell traction and Caenorhabditis elegans (C. elegans) thrashing cases, MBC recorded 23% and 34% errors in the estimated forces, respectively, compared to traditional methods. As an open-access tool with the Abaqus Student Edition, MBC democratizes rational design, analysis, and error estimation for researchers who are not subject matter experts in FEM.
AB - Soft micropillar arrays enable detailed studies of cellular mechanotransduction and biomechanics using traditional beam-bending models. However, they often rely on simplified assumptions, leading to significant errors in force estimation. We present MechanoBioCAD (MBC), a finite element method (FEM)-based tool designed specifically for micropillar research and error estimation. Unlike traditional methods, MBC leverages the principle of minimizing total potential energy, avoiding errors associated with beam bending assumptions. MBC automates FEM model generation, analysis, and post-processing, providing accurate force quantification based on deflection input. The tool addresses critical issues such as substrate deformation, interpillar interactions, improper load application heights, and nonlinear effects. Applied to fibroblast cell traction and Caenorhabditis elegans (C. elegans) thrashing cases, MBC recorded 23% and 34% errors in the estimated forces, respectively, compared to traditional methods. As an open-access tool with the Abaqus Student Edition, MBC democratizes rational design, analysis, and error estimation for researchers who are not subject matter experts in FEM.
UR - http://www.scopus.com/inward/record.url?scp=86000611247&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=86000611247&partnerID=8YFLogxK
U2 - 10.1039/d4lc00843j
DO - 10.1039/d4lc00843j
M3 - Article
AN - SCOPUS:86000611247
SN - 1473-0197
VL - 25
SP - 2632
EP - 2643
JO - Lab on a Chip
JF - Lab on a Chip
IS - 11
ER -