使用LAT图像处理的STEM图像分析

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

摘要

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。
STEM Image Analysis Using LAT Image Processing
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.
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