PoreScript:Semi-automated pore size algorithm for scaffold characterization
作者机构:Department of Biomedical EngineeringUniversity of Texas–AustinAustinTX78712USA Department of Biomedical EngineeringTexas A&M UniversityCollege StationTX77843USA Universite de StrasbourgCNRSInstitut Charles Sadron UPR22F-67000StrasbourgFrance Institut für Physikalische ChemieUniversitat StuttgartPfaffenwaldring 55D-70569StuttgartGermany
出 版 物:《Bioactive Materials》 (生物活性材料(英文))
年 卷 期:2022年第7卷第7期
页 面:1-8页
核心收录:
学科分类:0831[工学-生物医学工程(可授工学、理学、医学学位)] 081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0836[工学-生物工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:The authors would like to acknowledge the following funding support:National Institutes of Health[NIH-R21 AR076708] National Science Foundation[NSF-BSF 1822196,DGE-1610403]
主 题:Pore size measurement Polymer scaffolds MATLAB program Tissue engineering
摘 要:The scaffold pore size influences many critical physical aspects of tissue engineering,including tissue infiltration,biodegradation rate,and mechanical *** measurements of pore sizes from scanning electron micrographs using ImageJ/FIJI are commonly used to characterize scaffolds,but these methods are both time-consuming and subject to user *** semi-automated analysis tools are limited by a lack of accessibility or limited sample size in their verification *** work here describes the development of a new MATLAB algorithm,PoreScript,to address these *** algorithm was verified using three common scaffold fabrication methods(e.g.,salt leaching,gas foaming,emulsion templating)with varying pore sizes and shapes to demonstrate the versatility of this new *** results demonstrate that the pore size characterization using PoreScript is comparable to manual pore size *** PoreScript algorithm was further evaluated to determine the effect of user-input and image parameters(relative image magnification,pixel intensity threshold,and pore structure).Overall,this work validates the accuracy of the PoreScript algorithm across several fabrication methods and provides user-guidance for semi-automated image analysis and increased throughput of scaffold characterization.