The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Quantitative assessment of skin layers absorption and skin reflectance spectra simulation in the visible and near-infrared spectral regions
Open accessAbstract
We have simulated diffuse reflectance spectra of skin by assuming a wavelength-independent scattering coefficient for the different skin tissues and using the known wavelength dependence of the absorption coefficient of oxy- and deoxyhaemoglobin and water. A stochastic Monte Carlo method is used to convert the wavelength-dependent absorption coefficient and wavelength-independent scattering coefficient into reflected intensity. The absorption properties of skin tissues in the visible and near-infrared spectral regions are estimated by taking into account the spatial distribution of blood vessels, water and melanin content within distinct anatomical layers. The geometrical peculiarities of skin histological structure, degree of blood oxygenation and the haematocrit index are also taken into account. We demonstrate that when the model is supplied with reasonable physical and structural parameters of skin, the results of the simulation agree reasonably well with the results of in vivo measurements of skin spectra.
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“Figure 7(a) shows that at all wavelengths measured in the published data, more than 69% of light was transmitted beyond a penetration depth (l) of 0.1 mm, which corresponds to the average thickness of the epidermis.43”
From Effect of skin color on optical properties and the implications for medical optical technologies: a review (2024) · cites this paper as [43]
In the citing paper
“and therefore, more than 1% of light has the potential to be transmitted beyond skin with a total depth of 1.93 mm, the average combined depth of epidermis and dermis described by Meglinski and Matcher.43”
From Effect of skin color on optical properties and the implications for medical optical technologies: a review (2024) · cites this paper as [43]
In the citing paper
“Both of these publications present optical coefficients for FST I–II skin.”
From Effect of skin color on optical properties and the implications for medical optical technologies: a review (2024) · cites this paper as [43]
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“Publications by Doornbos et al.38 and Meglinski and Matcher43 were the most cited with 673 and 544 citations, respectively.”
From Effect of skin color on optical properties and the implications for medical optical technologies: a review (2024) · cites this paper as [43]
In the citing paper
“The thickness of the epidermis and dermis used were taken from Meglinski et al., and used as an example of average skin layer depths [58].”
From Relevance and utility of the in-vivo and ex-vivo optical properties of the skin reported in the literature: a review [Invited] (2023) · cites this paper as [58]
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Cites
Metropolis, N., & Ulam, S. (1949) · Journal of the American Statistical Association · doi:10.1080/01621459.1949.10483310 · Cited by 6,474
Wave Propagation and Scattering in Random Media
Ishimaru, A. (1978) · Elsevier eBooks · doi:10.1016/c2013-0-10906-3 · Cited by 4,733
MCML—Monte Carlo modeling of light transport in multi-layered tissues
Wang, L. V., Jacques, S. L., & Zheng, L. (1995) · Computer Methods and Programs in Biomedicine · doi:10.1016/0169-2607(95)01640-f · Cited by 3,330
Diffuse radiation in the Galaxy
Henyey, L. C., & Greenstein, J. L. (1941) · The Astrophysical Journal · doi:10.1086/144246 · Cited by 2,971
Tissue Optics: Light Scattering Methods and Instruments for Medical Diagnosis
Tuchin, V. V. (2015) · SPIE eBooks · doi:10.1117/3.1003040 · Cited by 1,384
Farrell, T. J., Patterson, M. S., & Wilson, B. C. (1992) · Medical Physics · doi:10.1118/1.596777 · Cited by 1,380
A Monte Carlo model for the absorption and flux distributions of light in tissue
Wilson, B. C., & Adam, G. (1983) · Medical Physics · doi:10.1118/1.595361 · Cited by 694
Simpson, C. R., Kohl, M., Essenpreis, M., & Cope, M. (1998) · Physics in Medicine and Biology · doi:10.1088/0031-9155/43/9/003 · Cited by 651
A Monte Carlo model of light propagation in tissue
Prahl, S. A. (1989) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2283590 · Cited by 618
Malaparte, C. (1988) · Cited by 601
Research works printed but not linked: 8
- Cox A A, 2001, Appl. Opt., 40, 4229
- Holbrook K A, 1991, 1, 63
- Jacques S L, 1996, 2, 364
- Odland G F, 1991, 1, 3
- Potts R O, 1985, J. Soc. Cosmet. Chem., 37, 9
- Prahl S A, 1989, SPIE Institute Series, 5, 102
- Ryan T J, 1991, 2, 1019
- Yaroslavsky I V, 1992, Opt. Spectrosc., 72, 934
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Hengfoss, C., Kulcke, A., Mull, G., Edler, C., Püschel, K., & Well, E. J.-V. (2011) · Forensic Science International · doi:10.1016/j.forsciint.2011.05.014 · Cited by 16
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Guo, J., meng, S., Su, H., Zhang, B., & Li, T. (2022) · Biomedical Optics Express · doi:10.1364/boe.472530 · Cited by 15
Colas, V., Blondel, W., Khairallah, G., Daul, C., & Amouroux, M. (2021) · Photonics · doi:10.3390/photonics8100444 · Cited by 15
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Ackermann, D. M. (2008) · OhioLink ETD Center (Ohio Library and Information Network) · Cited by 15
Guo, C.-Y., Chang, H., Wang, K.-J., & Hsieh, T.-L. (2022) · Micromachines · doi:10.3390/mi13081327 · Cited by 14
Niedorf, F., Jungmann, H., & Kietzmann, M. (2005) · Medical Physics · doi:10.1118/1.1851917 · Cited by 14
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Wickramasinghe, V., Decker, S. M., Streeter, S. S., Sloop, A. M., Pétusseau, A. F., Alexander, D. A., Brůža, P., Gladstone, D. J., Zhang, R., & Pogue, B. W. (2023) · Journal of Biomedical Optics · doi:10.1117/1.jbo.28.3.036005 · Cited by 12
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Zhang, Z., Wang, Y., & Zhang, Z. (2014) · Neurocomputing · doi:10.1016/j.neucom.2014.03.028 · Cited by 12
Goicoechea-Telleria, I., Kiyokawa, K., Liu‐Jimenez, J., & Sánchez-Reillo, R. (2019) · IEEE Access · doi:10.1109/access.2018.2888905 · Cited by 12
Kim, D., & Kim, H. J. (2022) · Sensors · doi:10.3390/s22041671 · Cited by 12
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Turrioni, A. P. S., Alonso, J. R. L., Basso, F. G., Moriyama, L. T., Hebling, J., Bagnato, V. S., & Souza, C. C. A. D. (2013) · PubMed · Cited by 11
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Gao, J., Dai, X., Zhang, L., Sun, H. X., & Wu, X. (2013) · Applied Physics B · doi:10.1007/s00340-013-5348-y · Cited by 10
Sorgato, V., Berger, M., Emain, C., Vever‐Bizet, C., Dinten, J., Bourg-Heckly, G., & Planat‐Chrétien, A. (2016) · Journal of Biomedical Optics · doi:10.1117/1.jbo.21.6.065003 · Cited by 10
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Mazzoli, A., Munaretto, R., & Scalise, L. (2009) · Lasers in Medical Science · doi:10.1007/s10103-009-0724-x · Cited by 10
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Vardaki, M. Z., Matousek, P., & Stone, N. (2016) · Biomedical Optics Express · doi:10.1364/boe.7.002130 · Cited by 9
Das, K., Yuasa, T., Nishidate, I., Funamizu, H., & Aizu, Y. (2020) · Optical Review · doi:10.1007/s10043-020-00579-8 · Cited by 9
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Song, Y., Hao, Q., Kong, X., Hu, L., Cao, J., & Gao, T. (2014) · Sensors · doi:10.3390/s141120687 · Cited by 9
Klaessens, J. H. G. M., Noordmans, H. J., de Roode, R., & Verdaasdonk, R. M. (2009) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.808707 · Cited by 9
Sujatha, N., Nivetha, K. B., & Singhal, A. (2014) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2048869 · Cited by 9
Sakota, D., & Takatani, S. (2010) · Journal of Biomedical Optics · doi:10.1117/1.3516722 · Cited by 9
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Tepper, M., Neeman, R., Milstein, Y., David, M. B., & Gannot, I. (2009) · Journal of Biomedical Optics · doi:10.1117/1.3251036 · Cited by 9
Huang, N., Cheng, G., Wang, Y., Zeng, J., Qiu, H., & Gu, Y. (2011) · Lasers in Medical Science · doi:10.1007/s10103-011-0890-5 · Cited by 9
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Metadata
- Authors
- Meglinski, I. V., & Matcher, S. J.
- Affiliations
- Cranfield University (GB)
- University of Exeter (GB)
- Venue
- Physiological Measurement
- Publisher
- IOP Publishing
- Published
- 2002-10-17
- Volume
- 23
- Issue
- 4
- Pages
- 741-753
- ISSN
- 0967-3334 (ISSN-L)
- OpenAlex
- W2053040583
- Cited by
- 408
- References
- 36
- Citations by year
- 2026: 9 · 2025: 16 · 2024: 24 · 2023: 25 · 2022: 28 · 2021: 26 · 2020: 25 · 2019: 25 · 2018: 14 · 2017: 14 · 2016: 19 · 2015: 22 · 2014: 26 · 2013: 19 · 2012: 15
- FWCI
- 4.85
- Type
- journal article
- Language
- en
- Open access
- Locations
- Physiological Measurement (publishedVersion)
- PubMed (publishedVersion)
- CERES (Cranfield University) (submittedVersion)
- Funders
- Engineering and Physical Sciences Research Council
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Optical Polarization and Ellipsometry
- Keywords
- diffuse reflectance, Monte Carlo light transport, hemoglobin absorption, melanin, water uptake (human physiology), skin histology, blood oxygenation, hematocrit, skin layers, visible and near-infrared spectroscopy, spectral simulation
- MeSH terms
- Absorption, Algorithms, Humans, Light, Models, Biological, Monte Carlo Method, Skin, Skin Physiological Phenomena, Spectroscopy, Near-Infrared, Optics and Photonics
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