Toward-Automated Etalon Artifacts Elimination in Dual-Wavelength Raman Spectroscopy for In Vivo Applications

Confocal Raman spectroscopy has emerged as a powerful tool for noninvasive chemical analysis of human skin, offering unparalleled molecular specificity. Despite its promise, the pervasive issue of etalon artifacts─caused by multiple reflections and interference in back-illuminated charge-coupled devices─significantly hinders its application, particularly in pigmented skin, which is prevalent in Asia. Addressing this critical challenge, we present a toward-automated digital processing workflow that combines independent component analysis and continuous wavelet transform to effectively identify and eliminate etalon artifacts. By leveraging the consistent fringe patterns generated in a dual-wavelength excitation Raman system, our method isolates the specific frequency and wavelength ranges impacted by etalon artifacts without requiring additional calibration or manual parameter tuning. Validation on in vivo Raman spectra from diverse skin samples demonstrates that this approach not only removes etalon artifacts with high precision but also preserves critical spectral features, establishing a robust foundation for accurate and detailed skin analysis.

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Publication Details

Journal
Analytical Chemistry
Published
2025-10-24
DOI
https://doi.org/10.1021/acs.analchem.5c00747
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
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article

Toward-Automated Etalon Artifacts Elimination in Dual-Wavelength Raman Spectroscopy for In Vivo Applications

Alicia Ann May Yap, Dinish U.S., Ruochong Zhang, Renzhe Bi et al.
Analytical Chemistry
Spectroscopy Techniques in Biomedical and Chemical Research
article

Toward-Automated Etalon Artifacts Elimination in Dual-Wavelength Raman Spectroscopy for In Vivo Applications

Alicia Ann May Yap, Dinish U.S., Ruochong Zhang, Renzhe Bi, Steven Tien Guan Thng, Poongkulali Rajarahm, Malini Olivo, Wenyi Xu, Qian Cheng, Qi Yi
article en

Abstract

Confocal Raman spectroscopy has emerged as a powerful tool for noninvasive chemical analysis of human skin, offering unparalleled molecular specificity. Despite its promise, the pervasive issue of etalon artifacts─caused by multiple reflections and interference in back-illuminated charge-coupled devices─significantly hinders its application, particularly in pigmented skin, which is prevalent in Asia. Addressing this critical challenge, we present a toward-automated digital processing workflow that combines independent component analysis and continuous wavelet transform to effectively identify and eliminate etalon artifacts. By leveraging the consistent fringe patterns generated in a dual-wavelength excitation Raman system, our method isolates the specific frequency and wavelength ranges impacted by etalon artifacts without requiring additional calibration or manual parameter tuning. Validation on in vivo Raman spectra from diverse skin samples demonstrates that this approach not only removes etalon artifacts with high precision but also preserves critical spectral features, establishing a robust foundation for accurate and detailed skin analysis.

Analytical ChemistryVol. 97(43)
Tongji University (CN), National Skin Centre (SG), Engineering Acoustics (United States) (US), Institute of Acoustics (CN), Experimental Drug Development Centre (SG)
Openalex Percentile: Top 78%
Spectroscopy Techniques in Biomedical and Chemical Research
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