Exploration of megapixel hyperspectral ...
Type de document :
Article dans une revue scientifique: Article original
DOI :
URL permanente :
Titre :
Exploration of megapixel hyperspectral LIBS images using principal component analysis
Auteur(s) :
Moncayo, Samuel [Auteur]
Institut Lumière Matière [Villeurbanne] [ILM]
Duponchel, Ludovic [Auteur]
Laboratoire Avancé de Spectroscopie pour les Intéractions la Réactivité et l'Environnement (LASIRE) - UMR 8516
Mousavipak, Niloofar [Auteur]
Institut Lumière Matière [Villeurbanne] [ILM]
Panczer, Gérard [Auteur]
Institut Lumière Matière [Villeurbanne] [ILM]
Trichard, Florian [Auteur]
Institut Lumière Matière [Villeurbanne] [ILM]
Bousquet, Bruno [Auteur]
Pelascini, Frédéric [Auteur]
Centre d'Etudes Lasers Intenses et Applications [CELIA]
Motto-Ros, Vincent [Auteur]
Institut Lumière Matière [Villeurbanne] [ILM]
Duponchel, Ludovic [Auteur]
Laboratoire Avancé de Spectroscopie pour les Intéractions la Réactivité et l'Environnement (LASIRE) - UMR 8516
Mousavipak, Niloofar [Auteur]
Institut Lumière Matière [Villeurbanne] [ILM]
Panczer, Gérard [Auteur]
Institut Lumière Matière [Villeurbanne] [ILM]
Trichard, Florian [Auteur]
Institut Lumière Matière [Villeurbanne] [ILM]
Bousquet, Bruno [Auteur]
Pelascini, Frédéric [Auteur]
Centre d'Etudes Lasers Intenses et Applications [CELIA]
Motto-Ros, Vincent [Auteur]
Titre de la revue :
Journal of Analytical Atomic Spectrometry
Numéro :
33
Pagination :
210-220
Date de publication :
2018
Discipline(s) HAL :
Chimie/Chimie théorique et/ou physique
Résumé en anglais : [en]
Laser-Induced Breakdown Spectroscopy (LIBS) has achieved promising performance as an elemental imaging technology, and considerable progress has been achieved in the development of LIBS over the last several years, which ...
Lire la suite >Laser-Induced Breakdown Spectroscopy (LIBS) has achieved promising performance as an elemental imaging technology, and considerable progress has been achieved in the development of LIBS over the last several years, which has led to great interest in the use of LIBS in various fields of applications. LIBS is a highly attractive technology that is distinguished by its table top instrumentation, speed of operation, and operation in ambient atmosphere, able to produce megapixel multi-elemental images with micrometric resolution (10 μm) and ppm-scale sensitivity. However, the points that limit the development of LIBS are undeniably the expertise and the time required to extract a relevant signal from the LIBS dataset. The complexity of the emission spectra (e.g., elemental responses, structure of the baseline), the high dynamic range of measurement (i.e., possibility to image major to trace elements), and the large number of spectra to process require new data analysis strategies. Such new strategies are particularly critical for multi-phase materials. In this paper, we report a new methodology based on the well-known Principal Component Analysis (PCA) approach for the multivariate hyperspectral analysis of LIBS images. The proposed methodology is designed for large, raw, and potentially complex series of LIBS spectra, that allows various and exhaustive levels of information to be extracted (including the characterization of mineral phases, assessment of the measurement and identification of isolated elements) and facilitates the manipulation of such hyperspectral datasets.Lire moins >
Lire la suite >Laser-Induced Breakdown Spectroscopy (LIBS) has achieved promising performance as an elemental imaging technology, and considerable progress has been achieved in the development of LIBS over the last several years, which has led to great interest in the use of LIBS in various fields of applications. LIBS is a highly attractive technology that is distinguished by its table top instrumentation, speed of operation, and operation in ambient atmosphere, able to produce megapixel multi-elemental images with micrometric resolution (10 μm) and ppm-scale sensitivity. However, the points that limit the development of LIBS are undeniably the expertise and the time required to extract a relevant signal from the LIBS dataset. The complexity of the emission spectra (e.g., elemental responses, structure of the baseline), the high dynamic range of measurement (i.e., possibility to image major to trace elements), and the large number of spectra to process require new data analysis strategies. Such new strategies are particularly critical for multi-phase materials. In this paper, we report a new methodology based on the well-known Principal Component Analysis (PCA) approach for the multivariate hyperspectral analysis of LIBS images. The proposed methodology is designed for large, raw, and potentially complex series of LIBS spectra, that allows various and exhaustive levels of information to be extracted (including the characterization of mineral phases, assessment of the measurement and identification of isolated elements) and facilitates the manipulation of such hyperspectral datasets.Lire moins >
Langue :
Anglais
Audience :
Non spécifiée
Vulgarisation :
Non
Établissement(s) :
CNRS
ENSCL
Université de Lille
ENSCL
Université de Lille
Collections :
Équipe(s) de recherche :
Propriétés magnéto structurales des matériaux (PMSM)
Date de dépôt :
2021-11-16T08:23:36Z
2024-02-14T08:41:26Z
2024-02-14T08:41:26Z