Particle Recognition on Transmission Electron Microscopy Images Using Computer Vision and Deep Learning for Catalytic Applications

Recognition and measuring particles on microscopy images is an important part of many scientific studies, including catalytic investigations. In this paper, we present the results of the application of deep learning to the automated recognition of nanoparticles deposited on porous supports (heteroge...

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Veröffentlicht in:	Catalysts Jg. 12; H. 2; S. 135
Hauptverfasser:	Nartova, Anna V., Mashukov, Mikhail Yu, Astakhov, Ruslan R., Kudinov, Vitalii Yu, Matveev, Andrey V., Okunev, Alexey G.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.02.2022
Schlagworte:	Artificial intelligence Artificial neural networks Catalysis Catalysts Chemical reactions Computer vision Data processing Datasets Deep learning Image analysis Image transmission Materials science Nanoparticles Neural networks Object recognition Particle size Particle size determination Polymers Recall Scanning electron microscopy Size determination Software Statistical analysis Transmission electron microscopy Web services
ISSN:	2073-4344, 2073-4344
Online-Zugang:	Volltext
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