Ilaps - python software for data reduction and imaging with LA-ICP-MS

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F22%3A00126388" target="_blank" >RIV/00216224:14310/22:00126388 - isvavai.cz</a>

Výsledek na webu

<a href="https://pubs.rsc.org/en/content/articlelanding/2022/ja/d1ja00383f" target="_blank" >https://pubs.rsc.org/en/content/articlelanding/2022/ja/d1ja00383f</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1039/d1ja00383f" target="_blank" >10.1039/d1ja00383f</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Ilaps - python software for data reduction and imaging with LA-ICP-MS

Popis výsledku v původním jazyce

In the past couple of years, laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) has been widely used for trace element analysis in solid samples and the study of their distribution. The data acquired by this technique are exceedingly complex and call for a wealth of processing steps, such as data segmentation, background correction, calibration and normalisation. Imaging of the distribution additionally requires a reconstruction of the data into a two-dimensional matrix. In this work, we present a new standalone software written in python - Ilaps, that allows easy and straightforward processing of the LA-ICP-MS data for bulk analysis and imaging. Ilaps is built using a free, open-source python package imgMS, which simplifies the customisation of the used functions. The combination of imgMS as a python package with a standalone graphical software makes it possible to be used by researchers with or without programming knowledge at the same level. However, at the same time, it encourages open collaboration for the software to evolve. Ilaps does not require any data preparation, and can process a bulk analysis or convert the data into an image in a matter of minutes. The software offers an automatic selection of the signals that are representative of the composition of the sample, but at the same time allows the user to exclude contaminants manually. We discuss the key advantages of Ilaps and show its potential in two separate cases, one focused on bulk analysis of archaeological glass samples and the other on imaging of a mouse brain.

Název v anglickém jazyce

Ilaps - python software for data reduction and imaging with LA-ICP-MS

Popis výsledku anglicky

In the past couple of years, laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) has been widely used for trace element analysis in solid samples and the study of their distribution. The data acquired by this technique are exceedingly complex and call for a wealth of processing steps, such as data segmentation, background correction, calibration and normalisation. Imaging of the distribution additionally requires a reconstruction of the data into a two-dimensional matrix. In this work, we present a new standalone software written in python - Ilaps, that allows easy and straightforward processing of the LA-ICP-MS data for bulk analysis and imaging. Ilaps is built using a free, open-source python package imgMS, which simplifies the customisation of the used functions. The combination of imgMS as a python package with a standalone graphical software makes it possible to be used by researchers with or without programming knowledge at the same level. However, at the same time, it encourages open collaboration for the software to evolve. Ilaps does not require any data preparation, and can process a bulk analysis or convert the data into an image in a matter of minutes. The software offers an automatic selection of the signals that are representative of the composition of the sample, but at the same time allows the user to exclude contaminants manually. We discuss the key advantages of Ilaps and show its potential in two separate cases, one focused on bulk analysis of archaeological glass samples and the other on imaging of a mouse brain.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10406 - Analytical chemistry

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Journal of Analytical Atomic Spectrometry

ISSN

0267-9477

e-ISSN

1364-5544

Svazek periodika

37

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

8

Strana od-do

733-740

Kód UT WoS článku

000769608700001

EID výsledku v databázi Scopus

2-s2.0-85127695617