Complex evaluation of Raman spectra using morphological filtering: Algorithms, software implementation, and experimental verification of baseline correction, peak recognition, and cosmic ray removal in SERS spectra of designer drugs

Varování

Publikace nespadá pod Fakultu sportovních studií, ale pod Přírodovědeckou fakultu. Oficiální stránka publikace je na webu muni.cz.
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PAVELKA Vít HEMZAL Dušan HRBÁČ Jan

Rok publikování 2022
Druh Článek v odborném periodiku
Časopis / Zdroj Journal of Raman Spectroscopy
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
www https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/jrs.6448
Doi http://dx.doi.org/10.1002/jrs.6448
Klíčová slova designer drugs; morphological operators; Raman spectra processing; SERS
Popis We discuss a full-scale treatment of real-life Raman spectra with pronounced artifacts via mathematical morphology: Baseline correction, peak recognition, and cosmic ray removal are provided using a single kernel. The suggested treatment is peak-oriented, and its novelty lies in utilization of contact points between a spectrum and its morphological mapping to provide robust peak recognition via low-order morphological operators. Reaching a compromise between complicated iterative processing and requiring tedious input from the user, the provided algorithms permit effective unsupervised evaluation of individual spectra as well as Raman maps and time or depth series. The method is demonstrated on SERS identification of selected designer drugs.
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