Xu, W., Bi, R., Qi, Y., Zhang, R., Rajarahm, P., Yap, A. A. M., U.S., D., Cheng, Q., Thng, S., & Olivo, M. (2025). Toward-Automated Etalon Artifacts Elimination in Dual-Wavelength Raman Spectroscopy for In Vivo Applications. Analytical Chemistry, 97(43), 23773–23783. https://doi.org/10.1021/acs.analchem.5c00747
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 artifactscaused 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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Funding Info:
This research / project is supported by the A*STAR I&E - De-centralized Gap
Grant Reference no. : I24D1AG001
This research / project is supported by the A*STAR BMRC - Central Research Fund
Grant Reference no. : NIL
This research / project is supported by the Human Health and Potential - Industry Alignment Fund – Pre-Positioning
Grant Reference no. : OPTIMAS H24J4a0146