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Automated Recognition of Nanoparticles in Electron Microscopy Images of Nanoscale Palladium Catalysts

Automated computational analysis of nanoparticles is the key approach urgently required to achieve further progress in catalysis, the development of new nanoscale materials, and applications. Analysis of nanoscale objects on the surface relies heavily on scanning electron microscopy (SEM) as the exp...

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Autores principales: Boiko, Daniil A., Sulimova, Valentina V., Kurbakov, Mikhail Yu., Kopylov, Andrei V., Seredin, Oleg S., Cherepanova, Vera A., Pentsak, Evgeniy O., Ananikov, Valentine P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657885/
https://www.ncbi.nlm.nih.gov/pubmed/36364691
http://dx.doi.org/10.3390/nano12213914
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author Boiko, Daniil A.
Sulimova, Valentina V.
Kurbakov, Mikhail Yu.
Kopylov, Andrei V.
Seredin, Oleg S.
Cherepanova, Vera A.
Pentsak, Evgeniy O.
Ananikov, Valentine P.
author_facet Boiko, Daniil A.
Sulimova, Valentina V.
Kurbakov, Mikhail Yu.
Kopylov, Andrei V.
Seredin, Oleg S.
Cherepanova, Vera A.
Pentsak, Evgeniy O.
Ananikov, Valentine P.
author_sort Boiko, Daniil A.
collection PubMed
description Automated computational analysis of nanoparticles is the key approach urgently required to achieve further progress in catalysis, the development of new nanoscale materials, and applications. Analysis of nanoscale objects on the surface relies heavily on scanning electron microscopy (SEM) as the experimental analytic method, allowing direct observation of nanoscale structures and morphology. One of the important examples of such objects is palladium on carbon catalysts, allowing access to various chemical reactions in laboratories and industry. SEM images of Pd/C catalysts show a large number of nanoparticles that are usually analyzed manually. Manual analysis of a statistically significant number of nanoparticles is a tedious and highly time-consuming task that is impossible to perform in a reasonable amount of time for practically needed large amounts of samples. This work provides a comprehensive comparison of various computer vision methods for the detection of metal nanoparticles. In addition, multiple new types of data representations were developed, and their applicability in practice was assessed.
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spelling pubmed-96578852022-11-15 Automated Recognition of Nanoparticles in Electron Microscopy Images of Nanoscale Palladium Catalysts Boiko, Daniil A. Sulimova, Valentina V. Kurbakov, Mikhail Yu. Kopylov, Andrei V. Seredin, Oleg S. Cherepanova, Vera A. Pentsak, Evgeniy O. Ananikov, Valentine P. Nanomaterials (Basel) Article Automated computational analysis of nanoparticles is the key approach urgently required to achieve further progress in catalysis, the development of new nanoscale materials, and applications. Analysis of nanoscale objects on the surface relies heavily on scanning electron microscopy (SEM) as the experimental analytic method, allowing direct observation of nanoscale structures and morphology. One of the important examples of such objects is palladium on carbon catalysts, allowing access to various chemical reactions in laboratories and industry. SEM images of Pd/C catalysts show a large number of nanoparticles that are usually analyzed manually. Manual analysis of a statistically significant number of nanoparticles is a tedious and highly time-consuming task that is impossible to perform in a reasonable amount of time for practically needed large amounts of samples. This work provides a comprehensive comparison of various computer vision methods for the detection of metal nanoparticles. In addition, multiple new types of data representations were developed, and their applicability in practice was assessed. MDPI 2022-11-06 /pmc/articles/PMC9657885/ /pubmed/36364691 http://dx.doi.org/10.3390/nano12213914 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Boiko, Daniil A.
Sulimova, Valentina V.
Kurbakov, Mikhail Yu.
Kopylov, Andrei V.
Seredin, Oleg S.
Cherepanova, Vera A.
Pentsak, Evgeniy O.
Ananikov, Valentine P.
Automated Recognition of Nanoparticles in Electron Microscopy Images of Nanoscale Palladium Catalysts
title Automated Recognition of Nanoparticles in Electron Microscopy Images of Nanoscale Palladium Catalysts
title_full Automated Recognition of Nanoparticles in Electron Microscopy Images of Nanoscale Palladium Catalysts
title_fullStr Automated Recognition of Nanoparticles in Electron Microscopy Images of Nanoscale Palladium Catalysts
title_full_unstemmed Automated Recognition of Nanoparticles in Electron Microscopy Images of Nanoscale Palladium Catalysts
title_short Automated Recognition of Nanoparticles in Electron Microscopy Images of Nanoscale Palladium Catalysts
title_sort automated recognition of nanoparticles in electron microscopy images of nanoscale palladium catalysts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657885/
https://www.ncbi.nlm.nih.gov/pubmed/36364691
http://dx.doi.org/10.3390/nano12213914
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