Navajit S Baban, Christopher J Stubbs, Yong-Ak Song
{"title":"MechanoBioCAD: a generalized semi-automated computational tool for mechanobiological studies.","authors":"Navajit S Baban, Christopher J Stubbs, Yong-Ak Song","doi":"10.1039/d4lc00843j","DOIUrl":null,"url":null,"abstract":"<p><p>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 <i>Caenorhabditis elegans</i> (<i>C. elegans</i>) 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.</p>","PeriodicalId":85,"journal":{"name":"Lab on a Chip","volume":" ","pages":""},"PeriodicalIF":6.1000,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lab on a Chip","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1039/d4lc00843j","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
Lab on a Chip is the premiere journal that publishes cutting-edge research in the field of miniaturization. By their very nature, microfluidic/nanofluidic/miniaturized systems are at the intersection of disciplines, spanning fundamental research to high-end application, which is reflected by the broad readership of the journal. Lab on a Chip publishes two types of papers on original research: full-length research papers and communications. Papers should demonstrate innovations, which can come from technical advancements or applications addressing pressing needs in globally important areas. The journal also publishes Comments, Reviews, and Perspectives.