Spectral library transfer between distinct Laser-Induced Breakdown Spectroscopy systems trained on simultaneous measurements

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F23%3APU147758" target="_blank" >RIV/00216305:26620/23:PU147758 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14310/23:00132292

Result on the web

<a href="https://pubs.rsc.org/en/content/articlelanding/2023/ja/d2ja00406b" target="_blank" >https://pubs.rsc.org/en/content/articlelanding/2023/ja/d2ja00406b</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1039/D2JA00406B" target="_blank" >10.1039/D2JA00406B</a>

Result language

angličtina

Original language name

Spectral library transfer between distinct Laser-Induced Breakdown Spectroscopy systems trained on simultaneous measurements

Original language description

The mutual incompatibility of distinct spectroscopic systems is among the most limiting factors in Laser-Induced Breakdown Spectroscopy (LIBS). The cost related to setting up a new LIBS system is increased, as its extensive calibration is required. Solving the problem would enable inter-laboratory reference measurements and shared spectral libraries, which are fundamental for other spectroscopic techniques. We study a simplified version of this challenge where LIBS systems differ only in used spectrometers and collection optics but share all other parts of the apparatus, and collect spectra simultaneously from the same plasma plume. Extensive datasets measured as hyperspectral images of heterogeneous rock sample are used to train machine learning models that can transfer spectra between systems. The transfer is realized by a composed model that consists of a variational autoencoder (VAE) and a multilayer perceptron (MLP). The VAE is used to create a latent representation of spectra from the Primary system. Subsequently, spectra from the Secondary system are mapped to corresponding locations in the latent space by the MLP. The transfer is evaluated by several figures of merit (Euclidean and cosine distances, both spatially resolved; k-means clustering of transferred spectra). We demonstrate the viability of the method and compare it to several baseline approaches of varying complexity.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10406 - Analytical chemistry

Project

<a href="/en/project/EF19_073%2F0016948" target="_blank" >EF19_073/0016948: Quality internal grants at BUT</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Analytical Atomic Spectrometry

ISSN

0267-9477

e-ISSN

1364-5544

Volume of the periodical

38

Issue of the periodical within the volume

4

Country of publishing house

GB - UNITED KINGDOM

Number of pages

12

Pages from-to

841-853

UT code for WoS article

000940533400001

EID of the result in the Scopus database

2-s2.0-85149255901