PorMe:一个经过验证的基于图像的开源孔径大小和孔隙度测量工具,用于3D打印结构
José I Contreras Raggio1,2, Miguel Pardo1,2, Bernhard Weisse2
1Facultad de Ingeniería y Ciencias, Universidad Adolfo Ibáñez, Viña del Mar, Padre Hurtado 750. 2520000, Chile.
MethodsX
|October 1, 2025
概括
一个新的非破坏性图像分析工具在现场进行3D打印的组织工程支架的特征. 这个开源软件评估了几何,多孔和纤维特性,使内部微型架构的高吞吐量分析成为可能.
科学领域:
- 生物材料工程 生物材料工程
- 组织工程是组织工程.
- 图像分析 图像分析
背景情况:
- 鉴定3D打印支架的内部微型架构对于组织工程至关重要.
- 现有的方法可能是破坏性的,或者缺乏高通量能力进行现场分析.
研究的目的:
- 开发和验证一种非破坏性,高通量图像分析工具,用于在现场对3D打印的脚手架微型架构进行表征.
- 在印刷过程中逐层评估几何,多孔性和纤维性质.
主要方法:
- 开发了一个基于图像的开源软件,使用在打印过程中垂直获取的图像.
- 图像被堆叠在一起,以创建用于分析的3D表示.
- 详细介绍了PorMe算法,包括图像采集,细分和孔隙分析.
主要成果:
- 该工具准确地评估了几何特性,包括纤维直径,方向,孔径大小和多孔性.
- 使用3D圆柱体支架的验证显示,与阿基米德和微CT方法对孔隙性和建筑均性的高度一致.
- 证明了脚手架内部结构的高通量和非破坏性评估.
结论:
- 开发的非破坏性图像分析工具为3D打印支架的现场特征提供了可靠和高效的方法.
- 这款开源软件可方便对脚手架微型架构进行详细分析,支持组织工程的进步.
- 层级评估与传统方法相比,只关注外层,提供了更好的洞察力.
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