用于降低电子剂量的粗像素取样的高精度扫描透射电子显微镜

IF 3.56 Q1 Medicine
Andrew B Yankovich, Benjamin Berkels, Wolfgang Dahmen, Peter Binev, Paul M Voyles
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引用次数: 22

摘要

确定材料表面、缺陷和界面的精确原子结构对于帮助提供结构和重要材料性能之间的联系是很重要的。现代扫描透射电子显微镜(STEM)技术现在允许原子分辨率STEM图像在定位原子位置时具有低至亚皮米的精度,但这些高精度技术通常需要大的电子剂量,这使得它们对光束敏感的材料不太有用。在这里,我们表明,即使使用非常粗糙的采样图像和减少曝光时间来最小化电子剂量,通过非刚性配准和平均5至6纳米Au纳米颗粒的高角度暗场图像系列,也可以实现1至2 pm的图像精度。这些成像条件最大限度地减少了对纳米颗粒的损伤,并在同一图像中捕获了整个纳米颗粒。高精度的STEM图像显示,整个纳米颗粒表面的键长收缩,而将纳米颗粒分成两个颗粒的孪晶界上的键长没有变化。边缘和角落的表面原子比表面切面中心的原子表现出更大的键长收缩。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

High-precision scanning transmission electron microscopy at coarse pixel sampling for reduced electron dose

High-precision scanning transmission electron microscopy at coarse pixel sampling for reduced electron dose

Determining the precise atomic structure of materials’ surfaces, defects, and interfaces is important to help provide the connection between structure and important materials’ properties. Modern scanning transmission electron microscopy (STEM) techniques now allow for atomic resolution STEM images to have down to sub-picometer precision in locating positions of atoms, but these high-precision techniques generally require large electron doses, making them less useful for beam-sensitive materials. Here, we show that 1- to 2-pm image precision is possible by non-rigidly registering and averaging a high-angle dark field image series of a 5- to 6-nm Au nanoparticle even though a very coarsely sampled image and decreased exposure time was used to minimize the electron dose. These imaging conditions minimize the damage to the nanoparticle and capture the whole nanoparticle in the same image. The high-precision STEM image reveals bond length contraction around the entire nanoparticle surface, and no bond length variation along a twin boundary that separates the nanoparticle into two grains. Surface atoms at the edges and corners exhibit larger bond length contraction than atoms near the center of surface facets.

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来源期刊
Advanced Structural and Chemical Imaging
Advanced Structural and Chemical Imaging Medicine-Radiology, Nuclear Medicine and Imaging
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