National Physical Laboratory, Teddington, UK.
J Mater Sci Mater Med. 2010 Aug;21(8):2463-77. doi: 10.1007/s10856-010-4095-4. Epub 2010 May 28.
In this paper, we describe techniques for extracting features from surface topography data, gathered by a 3D-microscopy system, on a length scale that is relevant for cell attachment. The feature parameters considered include standard surface roughness parameters applied to the complete surface as well as new feature parameters designed to quantify local variations in surface topography potentially influencing cell behaviour. Methodologies have been developed both to determine the degree of homogeneity or isotropy of a surface and to compare the topographies of different samples. The approaches followed include wavelet decomposition and linear and nonlinear filtering techniques. The analysis has been used to investigate the correlation between osteoblast cell attachment and structural features of titanium-coated surfaces representative of orthopaedic implants. The results confirm that there is a discernible correlation between cell orientation and the underlying surface lay.
本文介绍了从通过 3D 显微镜系统采集的、与细胞附着相关的长度尺度的表面形貌数据中提取特征的技术。所考虑的特征参数包括应用于整个表面的标准表面粗糙度参数以及旨在量化潜在影响细胞行为的表面形貌局部变化的新特征参数。已经开发了确定表面均匀性或各向同性程度以及比较不同样品形貌的方法。所采用的方法包括小波分解以及线性和非线性滤波技术。该分析用于研究代表骨科植入物的钛涂层表面的结构特征与成骨细胞附着之间的相关性。结果证实，细胞取向与底层表面纹理之间存在明显的相关性。
