PAVELKA, Vít, Dušan HEMZAL a Jan HRBÁČ. 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. Journal of Raman Spectroscopy. HOBOKEN: WILEY, 2022, roč. 53, č. 12, s. 2100-2109. ISSN 0377-0486. Dostupné z: https://dx.doi.org/10.1002/jrs.6448. |
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@article{2219958, author = {Pavelka, Vít and Hemzal, Dušan and Hrbáč, Jan}, article_location = {HOBOKEN}, article_number = {12}, doi = {http://dx.doi.org/10.1002/jrs.6448}, keywords = {designer drugs; morphological operators; Raman spectra processing; SERS}, language = {eng}, issn = {0377-0486}, journal = {Journal of Raman Spectroscopy}, title = {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}, url = {https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/jrs.6448}, volume = {53}, year = {2022} }
TY - JOUR ID - 2219958 AU - Pavelka, Vít - Hemzal, Dušan - Hrbáč, Jan PY - 2022 TI - 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 JF - Journal of Raman Spectroscopy VL - 53 IS - 12 SP - 2100-2109 EP - 2100-2109 PB - WILEY SN - 03770486 KW - designer drugs KW - morphological operators KW - Raman spectra processing KW - SERS UR - https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/jrs.6448 N2 - 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. ER -
PAVELKA, Vít, Dušan HEMZAL a Jan HRBÁČ. 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. \textit{Journal of Raman Spectroscopy}. HOBOKEN: WILEY, 2022, roč.~53, č.~12, s.~2100-2109. ISSN~0377-0486. Dostupné z: https://dx.doi.org/10.1002/jrs.6448.
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