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Hybrid statistics-simulations based method for atom-counting from ADF STEM images

机译:基于混合统计 - 基于ADF茎图像的原子计数方法

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摘要

A hybrid statistics-simulations based method for atom-counting from annular dark field scanning transmission electron microscopy (ADF STEM) images of monotype crystalline nanostructures is presented. Different atom-counting methods already exist for model-like systems. However, the increasing relevance of radiation damage in the study of nanostructures demands a method that allows atom-counting from low dose images with a low signal-to-noise ratio. Therefore, the hybrid method directly includes prior knowledge from image simulations into the existing statistics-based method for atom-counting, and accounts in this manner for possible discrepancies between actual and simulated experimental conditions. It is shown by means of simulations and experiments that this hybrid method outperforms the statistics based method, especially for low electron doses and small nanoparticles. The analysis of a simulated low dose image of a small nanoparticle suggests that this method allows for far more reliable quantitative analysis of beam-sensitive materials. (C) 2017 Elsevier B.V. All rights reserved.
机译:提出了一种基于混合统计模拟的单晶体纳米结构环形暗场扫描透射电子显微镜(ADF STEM)原子计数方法。对于类似模型的系统,已经存在不同的原子计数方法。然而,在纳米结构研究中,辐射损伤的相关性越来越大,因此需要一种能够从低剂量图像中以低信噪比进行原子计数的方法。因此,混合方法直接将图像模拟的先验知识纳入现有的基于统计的原子计数方法,并以这种方式解释实际和模拟实验条件之间可能存在的差异。通过模拟和实验表明,这种混合方法优于基于统计的方法,特别是对于低电子剂量和小纳米颗粒。对一个小纳米颗粒的模拟低剂量图像的分析表明,这种方法可以对束敏材料进行更可靠的定量分析。(C) 2017爱思唯尔B.V.版权所有。

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