Intelligent grids for faster elemental mapping with Laser-induced breakdown spectroscopy

Laser-induced breakdown spectroscopy is a spectroscopic technique that allows for fast elemental mapping of heterogeneous samples. Yet, detailed maps need high-resolution sampling grids, which can turn the task into a time-consuming process and can increase sample damage. In this work, we present th...

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Published inResults in optics Vol. 10; p. 100310
Main Authors Capela, Diana, Ferreira, Miguel, Lima, Alexandre, Jorge, Pedro, Guimarães, Diana, Silva, Nuno A.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.02.2023
Elsevier
Subjects
Element mapping
Image-based algorithm
LIBS
Superpixel segmentation
Superpixel segmentation
Element mapping
LIBS
Image-based algorithm
Online AccessGet full text
ISSN2666-9501
2666-9501
DOI10.1016/j.rio.2022.100310

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Abstract Laser-induced breakdown spectroscopy is a spectroscopic technique that allows for fast elemental mapping of heterogeneous samples. Yet, detailed maps need high-resolution sampling grids, which can turn the task into a time-consuming process and can increase sample damage. In this work, we present the implementation of an imaged-based intelligent mesh algorithm that makes use of superpixel segmentation to optimize elemental mapping processes. Our results show that the approach can increase the elemental mapping resolution and decrease acquisition times, fostering opportunities for applications that benefit from minimal sample damage such as heritage analysis, or timely analysis such as industrial applications.
AbstractList Laser-induced breakdown spectroscopy is a spectroscopic technique that allows for fast elemental mapping of heterogeneous samples. Yet, detailed maps need high-resolution sampling grids, which can turn the task into a time-consuming process and can increase sample damage. In this work, we present the implementation of an imaged-based intelligent mesh algorithm that makes use of superpixel segmentation to optimize elemental mapping processes. Our results show that the approach can increase the elemental mapping resolution and decrease acquisition times, fostering opportunities for applications that benefit from minimal sample damage such as heritage analysis, or timely analysis such as industrial applications.
ArticleNumber 100310
Author Ferreira, Miguel
Lima, Alexandre
Guimarães, Diana
Capela, Diana
Silva, Nuno A.
Jorge, Pedro
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Image-based algorithm
LIBS
Superpixel segmentation
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Title Intelligent grids for faster elemental mapping with Laser-induced breakdown spectroscopy
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