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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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.
“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]
Therefore, more than 1% of light has the potential to be transmitted beyond skin with a total depth of 1.93 mm for FST V-VI.
“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]
Both Doornbos et al. and Meglinski and Matcher present optical coefficients for FST I-II skin.
“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]
Publications by Doornbos et al. and Meglinski and Matcher were the most cited with 673 and 544 citations, respectively.
“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]
The epidermis and dermis thicknesses used were taken from Meglinski et al. as an example of average skin layer depths.
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Metropolis, N., & Ulam, S. (1949) · Journal of the American Statistical Association · doi:10.1080/01621459.1949.10483310 · Cited by 6,474 · see citing works
Wave Propagation and Scattering in Random Media
Ishimaru, A. (1978) · Elsevier eBooks · doi:10.1016/c2013-0-10906-3 · Cited by 4,733 · see citing works
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 · see citing works
Diffuse radiation in the Galaxy
Henyey, L. C., & Greenstein, J. L. (1941) · The Astrophysical Journal · doi:10.1086/144246 · Cited by 2,971 · see citing works
Farrell, T. J., Patterson, M. S., & Wilson, B. C. (1992) · Medical Physics · doi:10.1118/1.596777 · Cited by 1,380 · see citing works
Tissue Optics: Light Scattering Methods and Instruments for Medical Diagnosis
Tuchin, V. V. (2015) · SPIE eBooks · doi:10.1117/3.1003040 · Cited by 1,361 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Malaparte, C. (1988) · Cited by 602 · see citing works
Tearney, G. J., Brezinski, M. E., Bouma, B. E., Hee, M. R., Southern, J. F., & Fujimoto, J. G. (1995) · Optics Letters · doi:10.1364/ol.20.002258 · Cited by 563 · see citing works
Optical absorption of hemoglobin
Prahl, S. A. (1999) · Medical Entomology and Zoology · Cited by 552 · see citing works
Handbook of Optical Biomedical Diagnostics
Tuchin, V. V. (2002) · Medical Entomology and Zoology · Cited by 501 · see citing works
Flock, S. T., Patterson, M. S., Wilson, B. C., & Wyman, D. R. (1989) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1989.1173624 · Cited by 490 · see citing works
Okada, E., Firbank, M., Schweiger, M. J., Arridge, S., Cope, M., & Delpy, D. T. (1997) · Applied Optics · doi:10.1364/ao.36.000021 · Cited by 477 · see citing works
Kienle, A., & Patterson, M. S. (1997) · Journal of the Optical Society of America A · doi:10.1364/josaa.14.000246 · Cited by 474 · see citing works
Physiology, biochemistry, and molecular biology of the skin
Goldsmith, L. A. (1991) · Oxford University Press eBooks · Cited by 447 · see citing works
Doornbos, R. M. P., Lang, R., Aalders, M. C., Cross, F. W., & Sterenborg, H. J. C. M. (1999) · Physics in Medicine and Biology · doi:10.1088/0031-9155/44/4/012 · Cited by 380 · see citing works
Model for photon migration in turbid biological media
Bonner, R. F., Nossal, R., Havlin, S., & Weiss, G. H. (1987) · Journal of the Optical Society of America A · doi:10.1364/josaa.4.000423 · Cited by 378 · see citing works
Light distributions in artery tissue: Monte Carlo simulations for finite‐diameter laser beams
Keijzer, M., Jacques, S. L., Prahl, S. A., & Welch, A. J. (1989) · Lasers in Surgery and Medicine · doi:10.1002/lsm.1900090210 · Cited by 312 · see citing works
Origins of Tissue Optical Properties in the UVA, Visible, and NIR Regions
Jacques, S. L. (1996) · Advances in Optical Imaging and Photon Migration · doi:10.1364/aoipm.1996.opc364 · Cited by 247 · see citing works
Flock, S. T., Wilson, B. C., & Patterson, M. S. (1989) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.42107 · Cited by 177 · see citing works
Tissue parameters determining the visual appearance of normal skin and port-wine stains
Svaasand, L. O., Norvang, L. T., Fiskerstrand, E. J., Stopps, E. K. S., Berns, M. W., & Nelson, J. S. (1995) · Lasers in Medical Science · doi:10.1007/bf02133165 · Cited by 157 · see citing works
Modelling the sampling volume for skin blood oxygenation measurements
Meglinsky, I. V., & Matcher, S. J. (2001) · Medical & Biological Engineering & Computing · doi:10.1007/bf02345265 · Cited by 141 · see citing works
Self-citationMorphometry of human epidermis in vivo by real-time confocal microscopy
Corcuff, P., Bertrand, C., & Lévêque, J. (1993) · Archives of Dermatological Research · doi:10.1007/bf00376820 · Cited by 139 · see citing works
Odland, G. (1991) · Medical Entomology and Zoology · Cited by 134 · see citing works
Optimal times for constrained nonlinear control problems without local controllability
Cardaliaguet, P., Quincampoix, M., & Saint-Pierre, P. (1997) · Applied Mathematics & Optimization · doi:10.1007/bf02683336 · Cited by 103 · see citing works
Stratum corneum hydration: experimental techniques and interpretations of results
Potts, R. O. (1986) · Journal of the Society of Cosmetic Chemists · Cited by 75 · see citing works
Transcutaneous Optical Measurement of Hyperbilirubinemia in Neonates
Saidi, I. S. (1992) · Rice Research Repository (Rice University) · Cited by 61 · see citing works
Lu, J. Q., Hu, X., & Dong, K. (2000) · Applied Optics · doi:10.1364/ao.39.005890 · Cited by 59 · see citing works
Marchesini, R., Clemente, C., Pignoli, E., & Brambilla, M. (1992) · Journal of Photochemistry and Photobiology B Biology · doi:10.1016/1011-1344(92)80004-f · Cited by 56 · see citing works
Меглинский, И. В., & Matcher, S. D. (2001) · Optics and Spectroscopy · doi:10.1134/1.1412689 · Cited by 56 · see citing works
Self-citationOptimal Times for Constrained Nonlinear Control Problems Without Local Controllability
Cardaliaguet, P., Quincampoix, M., & Saint-Pierre, P. (1997) · Applied Mathematics & Optimization · doi:10.1007/s002459900053 · Cited by 55 · see citing works
Non-Invasive (Real-Time) Imaging of Histologic Margin of a Proliferative Skin Lesion In Vivo
Gonález, S., Rajadhyaksha, M. M., & Anderson, R. R. (1998) · Journal of Investigative Dermatology · doi:10.1046/j.1523-1747.1998.00309.x · Cited by 47 · see citing works
Simulation of color of port wine stain skin and its dependence on skin variables
Verkruysse, W., Lucassen, G. W., & van Gemert, M. J. C. (1999) · Lasers in Surgery and Medicine · doi:10.1002/(sici)1096-9101(1999)25:2 · Cited by 41 · see citing works
The body fluids and their functions
Chapman, G. (1967) · Medical Entomology and Zoology · Cited by 17 · see citing works
Spatial sampling by diffuse photons
Cox, A. A., & Durian, D. J. (2001) · Applied Optics · doi:10.1364/ao.40.004228 · Cited by 12 · see citing works
Flagged first, then by citations
Research works printed but not linked: 4
- Matcher S J 2002 Signal quantification and localization in tissue near-infrared spectroscopy Handbook of Optical Biomedical Diagnostics ed V V Tuchin (Bellingham, WA: SPIE Optical Engineering Press) ch 9
- Priezzhev A V 2001 Optics of blood and new optical sensing and diagnostic technique and instrumentation Munich European Biomedical Optics Short Course 101 (Bellingham, WA: SPIE Optical Engineering Press)
- Ryan T J 1991 Cutaneous circulation Physiology, Biochemistry, and Molecular Biology of the Skin vol 2, ed L A Goldsmith (Oxford: Oxford University Press) pp 1019-84
- Serup J and Jemec G B E 1995 Non-Invasive Methods and the Skin (Boca Raton, FL: CRC Press) pp 83-131
Cited by
Sorted by citations
OPTICAL PROPERTIES OF SKIN, SUBCUTANEOUS, AND MUSCLE TISSUES: A REVIEW
Bashkatov, A. N., Genina, E. A., & Tuchin, V. V. (2011) · Journal of Innovative Optical Health Sciences · doi:10.1142/s1793545811001319 · Cited by 765 · see citing works
Optical properties of human skin
Lister, T., Wright, P. A., & Chappell, P. H. (2012) · Journal of Biomedical Optics · doi:10.1117/1.jbo.17.9.090901 · Cited by 467 · see citing works
The role of the light source in antimicrobial photodynamic therapy
Piksa, M., Lian, C., Samuel, I. C., Pawlik, K., Samuel, I. D. W., & Matczyszyn, K. (2023) · Chemical Society Reviews · doi:10.1039/d0cs01051k · Cited by 325 · see citing works
Depth Penetration of Light into Skin as a Function of Wavelength from 200 to 1000 nm
Finlayson, L., Barnard, I. R. M., McMillan, L., Ibbotson, S. H., Brown, C. T. A., Eadie, E., & Wood, K. (2022) · Photochemistry and Photobiology · doi:10.1111/php.13550 · Cited by 302 · see citing works
Beer–Lambert law for optical tissue diagnostics: current state of the art and the main limitations
Oshina, I., & Spīgulis, J. (2021) · Journal of Biomedical Optics · doi:10.1117/1.jbo.26.10.100901 · Cited by 282 · see citing works
TiO2nanoparticles as an effective UV-B radiation skin-protective compound in sunscreens
Popov, A., Priezzhev, A. V., Lademann, J. M., & Myllylä, R. A. (2005) · Journal of Physics D Applied Physics · doi:10.1088/0022-3727/38/15/006 · Cited by 205 · see citing works
Gambichler, T., Regeniter, P., Bechara, F. G., Orlikov, A., Vasa, R. A., Moussa, G., Stücker, M., Altmeyer, P. J., & Hoffmann, K. K. P. (2007) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2007.05.029 · Cited by 176 · see citing works
A Top-Down Survey on Optical Wireless Communications for the Internet of Things
Çelik, A., Romdhane, I., Kaddoum, G., & Eltawil, A. M. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3220504 · Cited by 174 · see citing works
Glucose and Mannitol Diffusion in Human Dura Mater
Bashkatov, A. N., Genina, E. A., Sinichkin, Y. P., Kochubey, V. I., Lakodina, N. A., & Tuchin, V. V. (2003) · Biophysical Journal · doi:10.1016/s0006-3495(03)74750-x · Cited by 159 · see citing works
Learning mappings for face synthesis from near infrared to visual light images
Chen, J., Yi, D., Yang, J., Zhao, G., Li, S. Z., & Pietikäinen, M. (2009) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2009.5206832 · Cited by 146 · see citing works
Shimojo, Y., Nishimura, T., Hazama, H., Ozawa, T., & Awazu, K. (2020) · Journal of Biomedical Optics · doi:10.1117/1.jbo.25.4.045002 · Cited by 132 · see citing works
In Vivo Multiphoton NADH Fluorescence Reveals Depth-Dependent Keratinocyte Metabolism in Human Skin
Balu, M., Mazhar, A., Hayakawa, C. K., Mittal, R., Krasieva, T. B., König, K., Venugopalan, V., & Tromberg, B. J. (2013) · Biophysical Journal · doi:10.1016/j.bpj.2012.11.3809 · Cited by 126 · see citing works
Optical Imaging Modalities for Biomedical Applications
Dhawan, A. P., D'Alessandro, B., & Fu, X. (2010) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2010.2081975 · Cited by 117 · see citing works
Monte Carlo simulation of spectral reflectance using a multilayered skin tissue model
Maeda, T., Arakawa, N., Takahashi, M., & Aizu, Y. (2010) · Optical Review · doi:10.1007/s10043-010-0040-5 · Cited by 99 · see citing works
Using noninvasive multispectral imaging to quantitatively assess tissue vasculature
Vogel, A. J., Chernomordik, V., Riley, J. D., Hassan, M., Amyot, F., Dasgeb, B., Demos, S. G., Pursley, R. H., Little, R. F., Yarchoan, R., et al. (2007) · Journal of Biomedical Optics · doi:10.1117/1.2801718 · Cited by 98 · see citing works
Zhang, R., Verkruysse, W., Choi, B., Viator, J. A., Jung, B., Svaasand, L. O., Aguilar, G., & Nelson, J. S. (2005) · Journal of Biomedical Optics · doi:10.1117/1.1891147 · Cited by 95 · see citing works
Viator, J. A., Komadina, J., Svaasand, L. O., Aguilar, G., Choi, B., & Nelson, J. S. (2004) · Journal of Investigative Dermatology · doi:10.1111/j.0022-202x.2004.22610.x · Cited by 92 · see citing works
Polarization-Sensitive Hyperspectral Imaging in vivo: A Multimode Dermoscope for Skin Analysis
Vasefi, F., MacKinnon, N. B., Saager, R. B., Durkin, A. J., Chave, R. G., Lindsley, E. H., & Farkas, D. L. (2014) · Scientific Reports · doi:10.1038/srep04924 · Cited by 93 · see citing works
Habilitation à diriger des recherches
Finet, C., Mons, U. ́. D., Godefroy, G., Jarchow, H., Kalton, N. J., Li, D., Pisier, G., Vasilescu, F.-H., & Lille, U. ́. (2006) · Recherches en psychanalyse · doi:10.3917/rep.005.0119 · Cited by 92 · see citing works
Lahtinen, T., Seppälä, J., Virén, T., & Johansson, K. I. (2015) · Lymphatic Research and Biology · doi:10.1089/lrb.2015.0019 · Cited by 87 · see citing works
Modelling and validation of spectral reflectance for the colon
Džena Hidović-rowe, A., & Claridge, E. (2005) · Physics in Medicine and Biology · doi:10.1088/0031-9155/50/6/003 · Cited by 86 · see citing works
Zhang, R., Glaser, A. K., Gladstone, D. J., Fox, C. J., & Pogue, B. W. (2013) · Medical Physics · doi:10.1118/1.4821543 · Cited by 85 · see citing works
Arifler, D., MacAulay, C. E., Follen, M. M., & Richards-Kortum, R. R. (2006) · Journal of Biomedical Optics · doi:10.1117/1.2398932 · Cited by 84 · see citing works
System Design for Wearable Blood Oxygen Saturation and Pulse Measurement Device
Fu, Y., & Liu, J. (2015) · Procedia Manufacturing · doi:10.1016/j.promfg.2015.07.197 · Cited by 73 · see citing works
Setchfield, K., Gorman, A., Simpson, A. H. R. W., Somekh, M. G., & Wright, A. J. (2024) · Journal of Biomedical Optics · doi:10.1117/1.jbo.29.1.010901 · Cited by 72 · see citing works
Polat, B. E., Figueroa, P. L., Blankschtein, D., & Langer, R. (2010) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.22280 · Cited by 71 · see citing works
Superficial dosimetry imaging of Čerenkov emission in electron beam radiotherapy of phantoms
Zhang, R., Fox, C. J., Glaser, A. K., Gladstone, D. J., & Pogue, B. W. (2013) · Physics in Medicine and Biology · doi:10.1088/0031-9155/58/16/5477 · Cited by 69 · see citing works
Investigating the origin of photoplethysmography using a multiwavelength Monte Carlo model
Chatterjee, S., Budidha, K., & Kyriacou, P. A. (2020) · Physiological Measurement · doi:10.1088/1361-6579/aba008 · Cited by 67 · see citing works
Huclova, S., Erni, D., & Fröhlich, J. (2011) · Journal of Physics D Applied Physics · doi:10.1088/0022-3727/45/2/025301 · Cited by 67 · see citing works
Influence of refractive index matching on the photon diffuse reflectance
Churmakov, D. Y., Meglinski, I. V., & Greenhalgh, D. A. (2002) · Physics in Medicine and Biology · doi:10.1088/0031-9155/47/23/312 · Cited by 67 · see citing works
Self-citationDunaev, A., Владимирович, Д. В., Zherebtsov, E., Rafailov, I. E., Litvinova, K. S., Palmer, S. G., Stewart, N. A., Sokolovski, S. G., & Урихаевич, Р. Э. (2015) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2015.03.011 · Cited by 65 · see citing works
A Biophysically‐Based Model of the Optical Properties of Skin Aging
Iglesias-Guitián, J. A., Aliaga, C., Jarabo, A., & Gutiérrez, D. (2015) · Computer Graphics Forum · doi:10.1111/cgf.12540 · Cited by 62 · see citing works
Use of a multi-spectral camera in the characterization of skin wounds
Basiri, A., Nabili, M., Mathews, S. A., Libin, A., Groah, S. L., Noordmans, H. J., & Ramella‐Roman, J. C. (2010) · Optics Express · doi:10.1364/oe.18.003244 · Cited by 62 · see citing works
Ionic communication for implantable bioelectronics
Zhao, Z., Spyropoulos, G. D., Cea, C., Gelinas, J. N., & Khodagholy, D. (2022) · Science Advances · doi:10.1126/sciadv.abm7851 · Cited by 59 · see citing works
Kanick, S. C., Davis, S. C., Zhao, Y. Q., Hasan, T. G., Maytin, E. V., Pogue, B. W., & Chapman, M. S. (2014) · Journal of Biomedical Optics · doi:10.1117/1.jbo.19.7.075002 · Cited by 60 · see citing works
Владимирович, Д. В., Zherebtsov, E., Bykov, A. V., Popov, A., Doronin, A. A., & Meglinski, I. V. (2019) · Applied Optics · doi:10.1364/ao.58.009398 · Cited by 60 · see citing works
Self-citationWang, Q., Gan, Z., Wang, X., Li, X., Zhao, L., Li, D., Xu, Z., Mu, C., Ge, L., & Li, D. (2024) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.4c01790 · Cited by 61 · see citing works
Gender variations in the optical properties of skin in murine animal models
Calabro, K., Curtis, A., Galarneau, J.-R., Krucker, T., & Bigio, I. J. (2011) · Journal of Biomedical Optics · doi:10.1117/1.3525565 · Cited by 58 · see citing works
Measuring and predicting eyelid spectral transmittance
Bierman, A., Figueiro, M. G., & Rea, M. S. (2011) · Journal of Biomedical Optics · doi:10.1117/1.3593151 · Cited by 54 · see citing works
Fredriksson, I., Larsson, M., & Tomas Strömberg, A. (2008) · Journal of Biomedical Optics · doi:10.1117/1.2854691 · Cited by 55 · see citing works
Imaging of subcutaneous blood vessels and flow velocity profiles by optical coherence tomography
Bonesi, M., Proskurin, S. G., & Meglinski, I. V. (2010) · Laser Physics · doi:10.1134/s1054660x10070029 · Cited by 54 · see citing works
Self-citationJolivot, R., Benezeth, Y., & Marzani, F. S. (2013) · International Journal of Biomedical Imaging · doi:10.1155/2013/978289 · Cited by 54 · see citing works
Optical power transfer and communication methods for wireless implantable sensing platforms
Mujeeb-U-Rahman, M., Adalian, D., Chang, C.-F., & Scherer, A. (2015) · Journal of Biomedical Optics · doi:10.1117/1.jbo.20.9.095012 · Cited by 55 · see citing works
Optical Wireless Power Transmission Using Si Photovoltaic Through Air, Water, and Skin
Putra, A. W. S., Tanizawa, M., & Maruyama, T. (2018) · IEEE Photonics Technology Letters · doi:10.1109/lpt.2018.2887081 · Cited by 53 · see citing works
Jönsson, J., & Berrocal, E. (2020) · Optics Express · doi:10.1364/oe.404005 · Cited by 52 · see citing works
Setchfield, K., Gorman, A., Simpson, A. H. R. W., Somekh, M. G., & Wright, A. J. (2023) · Biomedical Optics Express · doi:10.1364/boe.493588 · Cited by 49 · see citing works
Churmakov, D. Y., Meglinski, I. V., & Greenhalgh, D. A. (2004) · Journal of Biomedical Optics · doi:10.1117/1.1645796 · Cited by 49 · see citing works
Self-citationAnalysis of skin tissues spatial fluorescence distribution by the Monte Carlo simulation
Churmakov, D. Y., Meglinski, I. V., Piletsky, S. A., & Greenhalgh, D. A. (2003) · CERN Document Server (European Organization for Nuclear Research) · Cited by 49 · see citing works
Self-citationTsui, S.-Y., Wang, C.-Y., Huang, T.-H., & Sung, K. (2018) · Biomedical Optics Express · doi:10.1364/boe.9.001531 · Cited by 48 · see citing works
The origin of photoplethysmography
Kyriacou, P. A., & Chatterjee, S. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-823374-0.00004-9 · Cited by 47 · see citing works
Direct curvature correction for noncontact imaging modalities applied to multispectral imaging
Kainerstorfer, J. M., Amyot, F., Ehler, M., Hassan, M., Demos, S. G., Chernomordik, V., Hitzenberger, C. K. F., Gandjbakhche, A., & Casale, G. (2010) · Journal of Biomedical Optics · doi:10.1117/1.3470094 · Cited by 47 · see citing works
Hu, D., Zhu, S., & Potas, J. R. (2016) · Journal of Neuroinflammation · doi:10.1186/s12974-016-0679-3 · Cited by 47 · see citing works
Spatial frequency domain spectroscopy of two layer media
Yudovsky, D., & Durkin, A. J. (2011) · Journal of Biomedical Optics · doi:10.1117/1.3640814 · Cited by 46 · see citing works
Analysis of skin tissues spatial fluorescence distribution by the Monte Carlo simulation
Churmakov, D. Y., Meglinski, I. V., Piletsky, S. A., & Greenhalgh, D. A. (2003) · Journal of Physics D Applied Physics · doi:10.1088/0022-3727/36/14/311 · Cited by 46 · see citing works
Self-citationMelanometry for objective evaluation of skin pigmentation in pulse oximetry studies
Vasudevan, S., Vogt, W. C., Weininger, S., & Pfefer, T. J. (2024) · Communications Medicine · doi:10.1038/s43856-024-00550-7 · Cited by 46 · see citing works
A Noncontact Skin Oxygen-Saturation Imaging System for Measuring Human Tissue Oxygen Saturation
Tsai, H., Huang, K., Chang, H.-C., Yeh, J.-L. A., & Chang, C. (2014) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2014.2312512 · Cited by 45 · see citing works
Retrieving skin properties fromin vivospectral reflectance measurements
Yudovsky, D., & Pilon, L. (2010) · Journal of Biophotonics · doi:10.1002/jbio.201000069 · Cited by 44 · see citing works
Mignon, C., Tobin, D. J., Zeitouny, M., & Uzunbajakava, N. E. (2018) · Biomedical Optics Express · doi:10.1364/boe.9.000852 · Cited by 43 · see citing works
Talbert, R. J., Holan, S. H., & Viator, J. A. (2007) · Physics in Medicine and Biology · doi:10.1088/0031-9155/52/7/004 · Cited by 42 · see citing works
Evaluation of face recognition system in heterogeneous environments (visible vs NIR)
Goswami, D., Chan, C. H., Windridge, D., & Kittler, J. (2011) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2011.6130515 · Cited by 42 · see citing works
Linking microvascular collapse to tissue hypoxia in a multiscale model of pressure ulcer initiation
Sree, V. D., Rausch, M. K., & Tepole, A. B. (2019) · Biomechanics and Modeling in Mechanobiology · doi:10.1007/s10237-019-01187-5 · Cited by 42 · see citing works
Zhang, R., Glaser, A. K., Andreozzi, J. M., Jiang, S., Jarvis, L. A., Gladstone, D. J., & Pogue, B. W. (2016) · Journal of Biophotonics · doi:10.1002/jbio.201500344 · Cited by 40 · see citing works
Ultra-Low-Power Implantable Medical Devices: Optical Wireless Communication Approach
Sohn, I., Jang, Y. H., & Lee, S. H. (2020) · IEEE Communications Magazine · doi:10.1109/mcom.001.1900609 · Cited by 39 · see citing works
Kim, D., & Kim, H. J. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222011091 · Cited by 39 · see citing works
Subdermal solar energy harvesting – A new way to power autonomous electric implants
Tholl, M. V., Akarçay, H. G., Tanner, H., Niederhäuser, T., Zurbuchen, A., Frenz, M., & Haeberlin, A. (2020) · RePEc: Research Papers in Economics · doi:10.24451/arbor.13074 · Cited by 39 · see citing works
Wang, S., Zhao, J., Lui, H., He, Q., Bai, J., & Zeng, H. (2013) · Journal of Biophotonics · doi:10.1002/jbio.201300045 · Cited by 38 · see citing works
Detection of Human Skin in Near Infrared Hyperspectral Imagery
Nunez, A. S., & Mendenhall, M. J. (2008) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2008.4779069 · Cited by 38 · see citing works
Dunaev, A., Zherebtsov, E., Рогаткин, Д. А., Stewart, N. A., Sokolovski, S. G., & Урихаевич, Р. Э. (2013) · Journal of Biomedical Optics · doi:10.1117/1.jbo.18.10.107009 · Cited by 36 · see citing works
Illumination invariant single face image recognition under heterogeneous lighting condition
Zhu, J., Zheng, W., Lu, F., & Lai, J. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2016.12.029 · Cited by 35 · see citing works
Non-invasive biomedical research and diagnostics enabled by innovative compact lasers
Litvinova, K. S., Rafailov, I. E., Dunaev, A., Sokolovski, S. G., & Урихаевич, Р. Э. (2017) · Progress in Quantum Electronics · doi:10.1016/j.pquantelec.2017.10.001 · Cited by 35 · see citing works
Childers, M. A., Franco, W., Nelson, J. S., & Aguilar, G. (2007) · Lasers in Surgery and Medicine · doi:10.1002/lsm.20456 · Cited by 35 · see citing works
Estimating physiological skin parameters from hyperspectral signatures
Vyas, S., Banerjee, A., & Burlina, P. (2013) · Journal of Biomedical Optics · doi:10.1117/1.jbo.18.5.057008 · Cited by 33 · see citing works
Detection limits of multi-spectral optical imaging under the skin surface
Binzoni, T., Vogel, A. J., Gandjbakhche, A., & Marchesini, R. (2008) · Physics in Medicine and Biology · doi:10.1088/0031-9155/53/3/008 · Cited by 34 · see citing works
Correia, T., Gibson, A. P., & Hebden, J. C. (2010) · Journal of Biomedical Optics · doi:10.1117/1.3484747 · Cited by 34 · see citing works
Principal component model of multispectral data for near real-time skin chromophore mapping
Kainerstorfer, J. M., Ehler, M., Amyot, F., Hassan, M., Demos, S. G., Chernomordik, V., Hitzenberger, C. K. F., Gandjbakhche, A., & Riley, J. D. (2010) · Journal of Biomedical Optics · doi:10.1117/1.3463010 · Cited by 33 · see citing works
Kim, O. V., McMurdy, J. W., Jay, G. D., Lines, C., Crawford, G., & Alber, M. (2014) · Physiological Reports · doi:10.1002/phy2.192 · Cited by 32 · see citing works
Huong, A. K. C., & Ngu, X. T. I. (2014) · Journal of Innovative Optical Health Sciences · doi:10.1142/s1793545814500266 · Cited by 32 · see citing works
Galaktionov, I. V., Nikitin, A. N., Sheldakova, J., Toporovsky, V. V., & Kudryashov, A. V. (2022) · Photonics · doi:10.3390/photonics9050296 · Cited by 31 · see citing works
In vivo spatial frequency domain spectroscopy of two layer media
Yudovsky, D., Nguyen, J. Q., & Durkin, A. J. (2012) · Journal of Biomedical Optics · doi:10.1117/1.jbo.17.10.107006 · Cited by 30 · see citing works
Chatterjee, S., Phillips, J. P., & Kyriacou, P. A. (2016) · Biomedical Physics & Engineering Express · doi:10.1088/2057-1976/2/6/065018 · Cited by 30 · see citing works
Modeling PpIX effective light fluence at depths into the skin for PDT dose comparison
LaRochelle, E. P. M., Marra, K. A., LeBlanc, R. E., Chapman, M. S., Maytin, E. V., & Pogue, B. W. (2019) · Photodiagnosis and Photodynamic Therapy · doi:10.1016/j.pdpdt.2019.01.022 · Cited by 30 · see citing works
Noninvasive Infrared Imaging for Functional Monitoring of Disease Processes
Hassan, M., Kainerstorfer, J. M., Chernomordik, V., Vogel, A. J., Gannot, I., Little, R. F., Yarchoan, R., & Gandjbakhche, A. (2012) · CRC Press eBooks · doi:10.1201/b12938-20 · Cited by 29 · see citing works
Near‐Infrared‐Light‐Triggered Antimicrobial Indium Phosphide Quantum Dots
Levy, M., Bertram, J. R., Eller, K. A., Chatterjee, A., & Nagpal, P. (2019) · Angewandte Chemie International Edition · doi:10.1002/anie.201906501 · Cited by 29 · see citing works
4D spectral-spatial computational photoacoustic dermoscopy
Gao, Y., Feng, T., Qiu, H., Gu, Y., Chen, Q., Zuo, C., & Ma, H. (2023) · Photoacoustics · doi:10.1016/j.pacs.2023.100572 · Cited by 28 · see citing works
Ney, M. S., & Abdulhalim, I. S. (2015) · Journal of Biomedical Optics · doi:10.1117/1.jbo.20.12.125007 · Cited by 28 · see citing works
Hu, D., van Zeyl, M., Valter, K., & Potas, J. R. (2019) · Journal of Biophotonics · doi:10.1002/jbio.201900010 · Cited by 28 · see citing works
Optimization of Photothermal Therapy Treatment Effect under Various Laser Irradiation Conditions
Kim, D., & Kim, H. J. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23115928 · Cited by 27 · see citing works
Walter, A. B., Simpson, J., Jenkins, J. L., Skaar, E. P., & Jansen, D. (2019) · Photodiagnosis and Photodynamic Therapy · doi:10.1016/j.pdpdt.2019.101624 · Cited by 27 · see citing works
Picosecond laser-induced photothermal skin damage evaluation by computational clinical trial
Shimojo, Y., Nishimura, T., Hazama, H., Ito, N., & Awazu, K. (2020) · LASER THERAPY · doi:10.5978/islsm.20-or-08 · Cited by 27 · see citing works
Tian, L., Qu, J., Guo, Z., Jin, Y., Meng, Y., & Deng, X. (2010) · Journal of Applied Physics · doi:10.1063/1.3474667 · Cited by 27 · see citing works
Xiang, S.-H., & Liu, J. (2008) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2008.04.024 · Cited by 27 · see citing works
He, J., Wang, N., Tsurui, H., Kato, M., Iida, M., & Kobayashi, T. (2016) · Scientific Reports · doi:10.1038/srep30209 · Cited by 27 · see citing works
Diamond, S. G., Perdue, K. L., & Boas, D. A. (2009) · Mathematical Biosciences · doi:10.1016/j.mbs.2009.05.002 · Cited by 26 · see citing works
He, J., Miyazaki, J., Wang, N., Tsurui, H., & Kobayashi, T. (2015) · Optics Express · doi:10.1364/oe.23.009762 · Cited by 26 · see citing works
Karsten, A., Singh, A., Karsten, P. A., & Braun, M. W. H. (2012) · Photochemistry and Photobiology · doi:10.1111/j.1751-1097.2012.01220.x · Cited by 26 · see citing works
Logarithm Gradient Histogram: A general illumination invariant descriptor for face recognition
Zhu, J.-Y., Zheng, W., & Lai, J. (2013) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2013.6553738 · Cited by 25 · see citing works
Meinhardt‐Wollweber, M., & Roth, B. (2019) · Sensors · doi:10.3390/s19102387 · Cited by 24 · see citing works
Laser beam focusing through a moderately scattering medium using a bimorph mirror
Galaktionov, I. V., Sheldakova, J., Nikitin, A. N., Samarkin, V., Parfenov, V. A., & Kudryashov, A. V. (2020) · Optics Express · doi:10.1364/oe.408899 · Cited by 24 · see citing works
Galaktionov, I. V., Sheldakova, J., Nikitin, A. N., Toporovsky, V. V., & Kudryashov, A. V. (2023) · Algorithms · doi:10.3390/a16070337 · Cited by 24 · see citing works
A library based fitting method for visual reflectance spectroscopy of human skin
Verkruysse, W., Zhang, R., Choi, B., Lucassen, G. W., Svaasand, L. O., & Nelson, J. S. (2004) · Physics in Medicine and Biology · doi:10.1088/0031-9155/50/1/005 · Cited by 24 · see citing works
- 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 › Engineering › Biomedical Engineering › 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
