A graphical user interface for arPLS baseline correction

A routine signal processing operation, like baseline correction, requires time and can be tedious. It is a stage that must be passed frequently to enable the extraction of useful information from the signal, which is inconvenient especially if it is repeated many times. Therefore, the arPLS GUI was...

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Veröffentlicht in:Chemometrics and intelligent laboratory systems 2023-07, Vol.238, p.104848, Article 104848
Hauptverfasser: Górski, Łukasz, Jakubowska, Małgorzata
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Sprache:eng
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Zusammenfassung:A routine signal processing operation, like baseline correction, requires time and can be tedious. It is a stage that must be passed frequently to enable the extraction of useful information from the signal, which is inconvenient especially if it is repeated many times. Therefore, the arPLS GUI was developed to facilitate baseline correction. It incorporates asymmetrically reweighted Penalized Least Squares (arPLS) method, with Graphical User Interface (GUI) implemented in Mathworks Matlab. The arPLS is a proven method for background correction, even for signals with complicated baseline, including many peaks and noise. The GUI was designed to provide a signal with an approximated baseline in a few clicks, ready to save or export to the Matlab workspace. Moreover, it includes Genetic Algorithm Optimizer to adjust parameters of the arPLS method. The manuscript contains a detailed description of the GUI with examples of its application, which can be easily reproduced. The GUI, with example of signals included, is available for download from GitHub. •Implementation of arPLS into a convenient Graphic User Interface (GUI).•Baseline approximation in a few clicks with immediate presentation of the results.•Built-in Genetic Algorithm Optimizer to adjust arPLS parameters.•Wbe parameter helps assign arPLS weight for beginning and ending points of signal.•Easily reproduceable results with example signals included in arPLS GUI files.
ISSN:0169-7439
1873-3239
DOI:10.1016/j.chemolab.2023.104848