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Precise Analysis of Nanoparticle Size Distribution in TEM Image

As an essential characterization, size distribution is an important indicator for the synthesis, optimization, and application of nanoparticles. Electron microscopes such as transmission electron microscopes (TEMs) are commonly utilized to collect size information on nanoparticles. However, the curr...

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Detalles Bibliográficos
Autores principales: Zhang, Shan, Wang, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10366915/
https://www.ncbi.nlm.nih.gov/pubmed/37489430
http://dx.doi.org/10.3390/mps6040063
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author Zhang, Shan
Wang, Chao
author_facet Zhang, Shan
Wang, Chao
author_sort Zhang, Shan
collection PubMed
description As an essential characterization, size distribution is an important indicator for the synthesis, optimization, and application of nanoparticles. Electron microscopes such as transmission electron microscopes (TEMs) are commonly utilized to collect size information on nanoparticles. However, the current popular statistical method of manually measuring large particles one by one, using a ruler tool in the corresponding image analysis software is time-consuming and can introduce manual errors. Moreover, it is difficult to determine the measurement interval for irregularly shaped nanoparticles. Therefore, it is necessary to use an efficient and standard method to perform size distribution analysis of nanoparticles. In this work, we use basic ImageJ software (1.53 t) to analyze the size of typical silica nanoparticles in a TEM image and use Origin software to process the data, to obtain its accurate distribution quickly. Using it as a template, we believe that this work can provide a paradigm for the standardized analysis of nanoparticle size.
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spelling pubmed-103669152023-07-26 Precise Analysis of Nanoparticle Size Distribution in TEM Image Zhang, Shan Wang, Chao Methods Protoc Brief Report As an essential characterization, size distribution is an important indicator for the synthesis, optimization, and application of nanoparticles. Electron microscopes such as transmission electron microscopes (TEMs) are commonly utilized to collect size information on nanoparticles. However, the current popular statistical method of manually measuring large particles one by one, using a ruler tool in the corresponding image analysis software is time-consuming and can introduce manual errors. Moreover, it is difficult to determine the measurement interval for irregularly shaped nanoparticles. Therefore, it is necessary to use an efficient and standard method to perform size distribution analysis of nanoparticles. In this work, we use basic ImageJ software (1.53 t) to analyze the size of typical silica nanoparticles in a TEM image and use Origin software to process the data, to obtain its accurate distribution quickly. Using it as a template, we believe that this work can provide a paradigm for the standardized analysis of nanoparticle size. MDPI 2023-07-03 /pmc/articles/PMC10366915/ /pubmed/37489430 http://dx.doi.org/10.3390/mps6040063 Text en © 2023 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 Brief Report
Zhang, Shan
Wang, Chao
Precise Analysis of Nanoparticle Size Distribution in TEM Image
title Precise Analysis of Nanoparticle Size Distribution in TEM Image
title_full Precise Analysis of Nanoparticle Size Distribution in TEM Image
title_fullStr Precise Analysis of Nanoparticle Size Distribution in TEM Image
title_full_unstemmed Precise Analysis of Nanoparticle Size Distribution in TEM Image
title_short Precise Analysis of Nanoparticle Size Distribution in TEM Image
title_sort precise analysis of nanoparticle size distribution in tem image
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10366915/
https://www.ncbi.nlm.nih.gov/pubmed/37489430
http://dx.doi.org/10.3390/mps6040063
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