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一种从高分辨 TEM 图像中测量晶格变形的模式识别方法。

A pattern recognition method for lattice distortion measurement from HRTEM images.

机构信息

Institute of Fundamental Technological Research, PAS, ul. Pawińskiego 5B, Warszawa, Poland.

出版信息

J Microsc. 2012 Feb;245(2):200-9. doi: 10.1111/j.1365-2818.2011.03561.x. Epub 2011 Nov 1.

Abstract

The idea of the method is to analyse a crystal lattice by creating a grid of quadrilaterals corresponding to repeated cells that are visible in the image. This approach combines image processing elements with a continuum field theory, to create a distortion-independent similarity measure that is used to select the most appropriate among possible lattice configurations. Subsequently, displacement and distortion fields are computed from individual cell positions. The method allows one to obtain these fields even for images where a periodic cell does not necessarily appear as a single dot of intensity in a high-resolution transmission electron microscopy (HRTEM) image, which results in a lower accuracy of commonly used approaches, namely geometric phase and peak finding. The results obtained from this method are verified quantitatively by comparison with known distortion tensor distributions and Burgers vector values on both simulated and real images.

摘要

该方法的思路是通过创建与图像中可见重复单元相对应的四边形网格来分析晶体格子。这种方法将图像处理元素与连续场理论相结合,创建出一种与变形无关的相似性度量标准,用于从可能的晶格配置中选择最合适的一种。随后,从各个单元位置计算位移和变形场。即使在高分辨率透射电子显微镜(HRTEM)图像中,周期性单元不一定表现为单个强度点的情况下,该方法也可以获得这些场,这导致常用方法(即几何相位和峰位检测)的精度降低。通过与模拟和实际图像上已知的变形张量分布和 Burgers 矢量值进行定量比较,验证了该方法的结果。

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