Details
| Original language | English |
|---|---|
| Article number | e202300080 |
| Journal | Journal of biophotonics |
| Volume | 16 |
| Issue number | 8 |
| Early online date | 11 May 2023 |
| Publication status | Published - 3 Aug 2023 |
Abstract
Melanoma is responsible for more than half of the deaths related to skin cancer in the last few decades. A dual-modality optical biopsy system with Raman spectroscopy and optical coherence tomography approach was built with the goal of achieving noninvasive skin measurement. To mimic melanoma and evaluate the effect of melanin on skin, models have been created by dissolving synthetic melanin in dimethyl sulfoxide and adding it to fresh skin samples. Compared to the untreated samples, morphological images showed that the imaging depth on melanin-treated skin has been increased from 250 μm to 350 μm due to the optical clearing effect of the DMSO solvent, and Raman analysis revealed that relative spectral intensities of melanin-treated samples were lower in the amide-I and CH2-deformation bands, and higher in the CH2-twist and C–C stretch bands. Using machine learning for skin type classification, an accuracy of 89% is achieved.
Keywords
- dual-modality optical system, melanin in skin, noninvasive melanoma diagnostics, optical coherence tomography, Raman spectroscopy
ASJC Scopus subject areas
- Chemistry(all)
- Materials Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Engineering(all)
- Physics and Astronomy(all)
Sustainable Development Goals
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In: Journal of biophotonics, Vol. 16, No. 8, e202300080, 03.08.2023.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Detection of melanin influence on skin samples based on Raman spectroscopy and optical coherence tomography dual-modal approach
AU - Wu, Di
AU - Kukk, Anatoly Fedorov
AU - Roth, Bernhard
N1 - Funding Information: The authors acknowledge financial support from the German Research Foundation DFG (German Research Foundation, Project ID RO 3471/18‐1 and EM 63/13‐1). Also, financial support from the German Research Foundation (DFG) under Germany's Excellence Strategy within the Cluster of Excellence PhoenixD (EXC 2122, Project ID 390833453) is acknowledged.
PY - 2023/8/3
Y1 - 2023/8/3
N2 - Melanoma is responsible for more than half of the deaths related to skin cancer in the last few decades. A dual-modality optical biopsy system with Raman spectroscopy and optical coherence tomography approach was built with the goal of achieving noninvasive skin measurement. To mimic melanoma and evaluate the effect of melanin on skin, models have been created by dissolving synthetic melanin in dimethyl sulfoxide and adding it to fresh skin samples. Compared to the untreated samples, morphological images showed that the imaging depth on melanin-treated skin has been increased from 250 μm to 350 μm due to the optical clearing effect of the DMSO solvent, and Raman analysis revealed that relative spectral intensities of melanin-treated samples were lower in the amide-I and CH2-deformation bands, and higher in the CH2-twist and C–C stretch bands. Using machine learning for skin type classification, an accuracy of 89% is achieved.
AB - Melanoma is responsible for more than half of the deaths related to skin cancer in the last few decades. A dual-modality optical biopsy system with Raman spectroscopy and optical coherence tomography approach was built with the goal of achieving noninvasive skin measurement. To mimic melanoma and evaluate the effect of melanin on skin, models have been created by dissolving synthetic melanin in dimethyl sulfoxide and adding it to fresh skin samples. Compared to the untreated samples, morphological images showed that the imaging depth on melanin-treated skin has been increased from 250 μm to 350 μm due to the optical clearing effect of the DMSO solvent, and Raman analysis revealed that relative spectral intensities of melanin-treated samples were lower in the amide-I and CH2-deformation bands, and higher in the CH2-twist and C–C stretch bands. Using machine learning for skin type classification, an accuracy of 89% is achieved.
KW - dual-modality optical system
KW - melanin in skin
KW - noninvasive melanoma diagnostics
KW - optical coherence tomography
KW - Raman spectroscopy
UR - http://www.scopus.com/inward/record.url?scp=85159295472&partnerID=8YFLogxK
U2 - 10.1002/jbio.202300080
DO - 10.1002/jbio.202300080
M3 - Article
AN - SCOPUS:85159295472
VL - 16
JO - Journal of biophotonics
JF - Journal of biophotonics
SN - 1864-063X
IS - 8
M1 - e202300080
ER -