基于形态光谱的多孔材料计算机辅助描述

J. Kulikowski
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引用次数: 1

摘要

合成多孔材料,如基于聚酰胺、聚醚砜、聚乙烯吡咯烷酮等化合物,具有许多重要的医疗应用。用于血液透析的滤膜[1],用于细胞或药物包封和递送的微胶囊[2],用于生物组织培养的支架[3]等。多孔材料在医疗应用中的实用性直接取决于其生化和机械性能,特别是孔隙度特性。因此,最后一种应在生产过程中加以仔细控制,并在开发期间保持稳定。为此,已经提出了描述孔隙大小和形状以及整体材料孔隙度特征(孔隙度因子、材料的渗透率、多孔膜的多层结构等)的数值参数[4,5]。事实上,这些参数并不能直接描述孔隙,而是在扫描电子显微镜(SEM)图像中可以看到它们的平面横截面。此外,诸如孔隙剖面的扩展、表面、轮廓长度等几何参数是由计算机系统在离散几何意义上解释的,与广为人知的欧几里得几何不太一致。在小(由几个像素组成)几何对象分析的情况下,差异特别明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer-Aided Porous Materials Description Based on Morphological Spectra
Synthetic porous materials, e.g. based on polyamide, polyether sulfone, polyvinylpyrrolidone etc. compounds, have numerous and important medical applications. They are used as filtering membranes in hemodialysis [1], micro-capsules for cells or drugs encapsulation and delivery [2], scaffolds for biological tissue cultivation [3], etc. Usefulness of porous materials in medical applications directly depends on their biochemical and mechanical properties, in particular, on porosity characteristics. The last should thus be carefully controlled within a production process and kept stable for exploitation period. For this purpose, numerical parameters describing size and shape of pores as well as global material porosity characteristics (porosity factor, material’s permeability, multi-layer architecture of porous membranes etc.) have been proposed [4,5]. In fact, the parameters don’t describe the pores directly but their planar cross-sections visible in SEM (Scanning Electron Microscope) images. Moreover, such geometrical parameters like pore section’s spread, surface, length of contour etc. are by computer systems interpreted in a discrete geometry sense, not quite consistent with the widely known Euclidean geometry. The differences are particularly clear in case of small (consisting of several pixels) geometrical objects analysis.
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