STEM Image Analysis Using LAT Image Processing

P. Bele, U. Stimming, H. Yano, H. Uchida, Masahiro Watanabe
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引用次数: 1

Abstract

In order to develop catalysts it is important to characterize the system in terms of particle size and size distribution. TEM or STEM are used as the state-of-the-art methods. In this study monodispersed Pt3Co alloy nanoparticles supported on carbon black (CB) prepared by the nanocapsule method are investigated and the results are compared with a commercially available Pt3Co/C catalyst system. To avoid the obstacles of conventional bright-field TEM or STEM regarding the image analysis, an advanced computerized image processing procedure is introduced. The so-called local adaptive threshold (LAT) is a method for a precise determination of particle diameter and size distribution in the subnanometer scale. The results demonstrate the advantage of a completely computerized particle evaluation as compared to a conventional particle analysis.
使用LAT图像处理的STEM图像分析
为了开发催化剂,从粒度和粒度分布方面对体系进行表征是很重要的。TEM或STEM是最先进的方法。本文研究了用纳米胶囊法制备的单分散的Pt3Co合金纳米颗粒负载在炭黑(CB)上,并将结果与市售的Pt3Co/C催化剂体系进行了比较。为了避免传统的亮场TEM或STEM在图像分析方面的障碍,介绍了一种先进的计算机图像处理程序。所谓的局部自适应阈值(LAT)是一种在亚纳米尺度上精确测定颗粒直径和尺寸分布的方法。结果表明,与传统的颗粒分析相比,完全计算机化的颗粒评估具有优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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