Deep machine learning for STEM image analysis

IF 1.8 4区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY Mendeleev Communications Pub Date : 2024-11-01 DOI:10.1016/j.mencom.2024.10.002
Anna V. Nartova , Andrey V. Matveev , Larisa M. Kovtunova , Aleksey G. Okunev
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Abstract

The universal, user-friendly online iOk Platform for automatic recognition of any type of objects in images based on deep machine learning is presented. Services aggregated in the iOk Platform significantly reduce the time spent on quantitative image analysis, decrease the influence of the subjective factor and increase the accuracy of the analysis by expanding the set of data that can be analyzed automatically. It is shown how the services can be used to analyze scanning transmission electron microscopy images obtained in heterogeneous catalysis studies, allowing for measurements of thousands of objects in an image, as well as simultaneous analysis of objects of different types, namely: nanoparticles and single sites.

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用于STEM图像分析的深度机器学习
提出了一种基于深度机器学习的通用的、用户友好的在线iOk平台,用于自动识别图像中任何类型的物体。iOk平台聚合的服务显著减少了用于定量图像分析的时间,减少了主观因素的影响,并通过扩展可自动分析的数据集提高了分析的准确性。它展示了如何使用这些服务来分析在多相催化研究中获得的扫描透射电子显微镜图像,允许在图像中测量数千个物体,以及同时分析不同类型的物体,即:纳米颗粒和单个位点。
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来源期刊
Mendeleev Communications
Mendeleev Communications 化学-化学综合
CiteScore
3.00
自引率
21.10%
发文量
226
审稿时长
4-8 weeks
期刊介绍: Mendeleev Communications is the journal of the Russian Academy of Sciences, launched jointly by the Academy of Sciences of the USSR and the Royal Society of Chemistry (United Kingdom) in 1991. Starting from 1st January 2007, Elsevier is the new publishing partner of Mendeleev Communications. Mendeleev Communications publishes short communications in chemistry. The journal primarily features papers from the Russian Federation and the other states of the former USSR. However, it also includes papers by authors from other parts of the world. Mendeleev Communications is not a translated journal, but instead is published directly in English. The International Editorial Board is composed of eminent scientists who provide advice on refereeing policy.
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