Pore sizes, porosity, and surface area of TPMS-based scaffold

This dataset enabled the researchers to design the tissue engineering scaffold computationally with a specific porosity and pore size by choosing the scaffold pattern (TPMS, or the customized implicit function), ω, and t. The TPMS-based scaffolds were generated from the marching cube algorithm (https://github.com/nodtem66/Scaffolder). The pore sizes (minimum Feret diameter and maximum Feret diameter), porosity (1 -scaffold volume / original volume), and surface area were acquired by the slice contour technique and geometric algorithm. The two parameters: angular frequency (ω) and iso-level (t), were introduce to customize the TPMS functions.

Data for: https://doi.org/10.1016/j.cmpb.2021.106088
Program source code: https://github.com/nodtem66/Scaffolder

本数据集使研究人员能够通过选择支架图案（TPMS，或定制隐函数）、角频率（ω）和厚度（t），在计算机上设计具有特定孔隙率和孔径的组织工程支架。基于TPMS的支架由步进立方算法（https://github.com/nodtem66/Scaffolder）生成。孔隙率（最小Feret直径和最大Feret直径）、孔隙率（1 -支架体积/原始体积）和表面积通过切片轮廓技术和几何算法获得。引入两个参数：角频率（ω）和等值线（t），以定制TPMS函数。