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Simple automation of SEM‐EDS spectral maps analysis with Python and the edxia framework

In a recent article, we described the edxia framework, a user‐friendly framework to analyse the microstructure of cementitious materials using SEM‐EDS hypermaps. The manual approach presented was shown to be efficient to answer the relevant scientific questions. However, it is limited for batch anal...

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Detalles Bibliográficos
Autores principales: Georget, Fabien, Wilson, William, Scrivener, Karen L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9311694/
https://www.ncbi.nlm.nih.gov/pubmed/35289927
http://dx.doi.org/10.1111/jmi.13099
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author Georget, Fabien
Wilson, William
Scrivener, Karen L.
author_facet Georget, Fabien
Wilson, William
Scrivener, Karen L.
author_sort Georget, Fabien
collection PubMed
description In a recent article, we described the edxia framework, a user‐friendly framework to analyse the microstructure of cementitious materials using SEM‐EDS hypermaps. The manual approach presented was shown to be efficient to answer the relevant scientific questions. However, it is limited for batch analysis and (semi‐)automated treatments. In this article, we show how the framework can be used to customise the analysis to the problem at hand. We first present some possible extensions, and then we provide a simple example of automatic clustering, using the flexible Python scientific libraries which will allow to define more custom workflows in the future.
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spelling pubmed-93116942022-07-30 Simple automation of SEM‐EDS spectral maps analysis with Python and the edxia framework Georget, Fabien Wilson, William Scrivener, Karen L. J Microsc Themed Issue Articles In a recent article, we described the edxia framework, a user‐friendly framework to analyse the microstructure of cementitious materials using SEM‐EDS hypermaps. The manual approach presented was shown to be efficient to answer the relevant scientific questions. However, it is limited for batch analysis and (semi‐)automated treatments. In this article, we show how the framework can be used to customise the analysis to the problem at hand. We first present some possible extensions, and then we provide a simple example of automatic clustering, using the flexible Python scientific libraries which will allow to define more custom workflows in the future. John Wiley and Sons Inc. 2022-03-24 2022-05 /pmc/articles/PMC9311694/ /pubmed/35289927 http://dx.doi.org/10.1111/jmi.13099 Text en © 2022 The Authors. Journal of Microscopy published by John Wiley & Sons Ltd on behalf of Royal Microscopical Society https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Themed Issue Articles
Georget, Fabien
Wilson, William
Scrivener, Karen L.
Simple automation of SEM‐EDS spectral maps analysis with Python and the edxia framework
title Simple automation of SEM‐EDS spectral maps analysis with Python and the edxia framework
title_full Simple automation of SEM‐EDS spectral maps analysis with Python and the edxia framework
title_fullStr Simple automation of SEM‐EDS spectral maps analysis with Python and the edxia framework
title_full_unstemmed Simple automation of SEM‐EDS spectral maps analysis with Python and the edxia framework
title_short Simple automation of SEM‐EDS spectral maps analysis with Python and the edxia framework
title_sort simple automation of sem‐eds spectral maps analysis with python and the edxia framework
topic Themed Issue Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9311694/
https://www.ncbi.nlm.nih.gov/pubmed/35289927
http://dx.doi.org/10.1111/jmi.13099
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