Ilaps - python software for data reduction and imaging with LA-ICP-MS
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Ilaps - python software for data reduction and imaging with LA-ICP-MS
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10406 - Analytical chemistry
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Analytical Atomic Spectrometry
ISSN
0267-9477
e-ISSN
1364-5544
Volume of the periodical
37
Issue of the periodical within the volume
4
Country of publishing house
GB - UNITED KINGDOM
Number of pages
8
Pages from-to
733-740
UT code for WoS article
000769608700001
EID of the result in the Scopus database
2-s2.0-85127695617