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.
Overview
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
Verification
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?
In the citing paper
“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]
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Cited by
Sorted by citations
Items 301–400 of 408
On the Validity of Assumptions to Incorporate Absorption in Monte Carlo Simulations
Calabro, K. W., & Bigio, I. J. (2012) · Biomedical Optics and 3-D Imaging · doi:10.1364/biomed.2012.bsu5a.3 · Cited by 2
Improving multiphoton microscopy using annular beam shaping, focusing on imaging of human skin
Borglin, J., Durr, N. J., Guldbrand, S., Ferhanoğlu, O., Wennberg, A., Hanstorp, D., Ben‐Yakar, A., & Ericson, M. B. (2014) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2038942 · Cited by 2
Cosmetic Foundations Considering Subsurface Scattering in Skin
KATSUYAMA, T. (2017) · Journal of the Japan Society of Colour Material · doi:10.4011/shikizai.90.383 · Cited by 2
Colas, V., Daul, C., Khairallah, G., Amouroux, M., & Blondel, W. (2021) · Optical Interactions with Tissue and Cells · doi:10.1117/12.2578203 · Cited by 2
Tsai, H., Lin, Y., Li, C.-R., Huang, K., Chou, C.-H., & Lin, C. (2022) · IEEE International Conference on Imaging Systems and Techniques (IST) · doi:10.1109/ist55454.2022.9827771 · Cited by 2
Kim, D., & Kim, H. J. (2023) · Nanoscale and Microscale Thermophysical Engineering · doi:10.1080/15567265.2023.2220769 · Cited by 2
Fröhlich, J., Huclova, S., Beyer, C., & Erni, D. (2014) · Pan Stanford Publishing eBooks · doi:10.1201/b17205-17 · Cited by 2
Instrumentation forIn vivoFlow Cytometry – a Sickle Cell Anemia Case Study
Morgan, S. P., & Stockford, I. M. (2011) · doi:10.1002/9783527634286.ch15 · Cited by 2
Cherenkov imaging and biochemical sensing in vivo during radiation therapy
Zhang, R. (2015) · doi:10.1349/ddlp.1630 · Cited by 2
Diffusing Wave Spectroscopy: Application for Skin Blood Monitoring
Meglinski, I. V., & Tuchin, V. V. (2004) · Springer eBooks · doi:10.1007/0-387-29989-0_4 · Cited by 2
Self-citationMonte-Carlo simulation of brain activity response for intense NIR radiation
Savchenko, E. P., Tuchin, V. V., Taboada, L. H. D., & Reznik, B. N. (2005) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.597991 · Cited by 1
Kumar, A., Hattale, G., Hinge, S., Kulkarni, G., Late, D. J., & Kanawade, R. V. (2024) · AIP Advances · doi:10.1063/5.0206988 · Cited by 1
Mathematical Modeling of Photoplethysmography: Model Assessment and Validation
Lefieux, A., Daraize, J., Vergnet, F., Vidrascu, M., Willemet, M., Bendjoudi, A., Lombardi, D., & Pérez, M. F. (2026) · Cardiovascular Engineering and Technology · doi:10.1007/s13239-026-00826-0
Lefebvre, A., Hanamoto, W., Park, J., Deleporte, P., Dewalle, A. S., Senez, V., Bajeux, O., Stoup, N., Grolez, G. P., Mortier, L., et al. (2026) · Lab on a Chip · doi:10.1039/d5lc01169h · Cited by 1
Pavlov, M. S., Владимирович, К. И., & Seteikin, A. (2010) · Journal of Optical Technology · doi:10.1364/jot.77.000602 · Cited by 1
Optical methods for wireless implantable sensing platforms
Mujeeb-U-Rahman, M., Chang, C.-F., & Scherer, A. (2013) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2023381 · Cited by 1
Diffraction of electromagnetic wave on skin blood vessel: Statement of the problem
Starkov, I. A., Raida, Z., & Starkov, A. S. (2014) · International Conference on Microwaves, Radar & Wireless Communications · doi:10.1109/mikon.2014.6899912 · Cited by 1
Maeda, T., Nishidate, I., & Aizu, Y. (2009) · Optics & Laser Technology · doi:10.1016/j.optlastec.2008.12.012 · Cited by 1
Diffraction of electromagnetic wave on skin capillary
Starkov, I. A., Raida, Z., & Starkov, A. S. (2014) · Days on Diffraction · doi:10.1109/dd.2014.7036453 · Cited by 1
Kaniušas, E. (2015) · Biological and medical physics, biomedical engineering · doi:10.1007/978-3-662-45106-9_5 · Cited by 1
Optical Monitoring of Bilirubin-Simulation and Experimental Results
Sudha, G. F., Kumaran, G. S., Thirumoorthi, J., Balamurugan, K., & Anand, M. (2007) · Journal of Optics · doi:10.1007/bf03354820 · Cited by 1
Using Multi-Modality Imaging Techniques to Assess Vascularity in AIDS-Related Kaposi’s Sarcoma
Vogel, A. J., Hassan, M., Amyot, F., Chernomordik, V., Gandjbakhche, A., Demos, S. G., Little, R. F., & Yarchoan, R. (2006) · Biomedical optics · doi:10.1364/bio.2006.sg2 · Cited by 1
The use of Laser Doppler to Classify Psoriatic Skin Lesions
Sudha, G., Kumar, M., Swetha, V., & Gobinath, N. (2008) · Journal of Optics · doi:10.1007/bf03354839 · Cited by 1
Reflectance-based skin detection in the short wave infrared band and its application to video
Langston, T. (2016) · Journal of Applied Remote Sensing · doi:10.1117/1.jrs.10.046026 · Cited by 1
Multi-wavelength analysis of substances levels in human blood
Kossowski, T., & Stasiński, R. (2017) · International Conference on Systems, Signals and Image Processing · doi:10.1109/iwssip.2017.7965594 · Cited by 1
Quantification and influence of skin chromophores for remote detection of anemic conditions
Kallepalli, A., & James, D. (2020) · Optical Interactions with Tissue and Cells · doi:10.1117/12.2545784 · Cited by 1
Development and validation of quantitative optical index of skin blood content
Peng, Y.-H., & Maarek, J. I. (2022) · Journal of Biomedical Optics · doi:10.1117/1.jbo.27.6.065003 · Cited by 1
A Multilayer Monte Carlo Analysis of Optical Interactions in Reflectance Neck Photoplethysmography
Patel, Z., & Rodriguez–Villegas, E. (2022) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc48229.2022.9871922 · Cited by 1
Remote physiological monitoring of neck blood vessels
Cao, M., Saiko, G., Burton, T., & Douplik, A. (2023) · Optics and Photonics for Information Processing · doi:10.1117/12.2680679 · Cited by 1
Turja, M. S., Kwon, T.-H., Kim, H., & Kim, K. (2024) · International Conference on Consumer Electronics · doi:10.1109/icce59016.2024.10444367 · Cited by 1
What Remote PPG Oximetry Tells Us about Pulsatile Volume?
Saiko, G. (2024) · Biomedicines · doi:10.3390/biomedicines12081784 · Cited by 1
Modelling Optical Wireless Communication for In-Body Communications Systems
Fuada, S., Särestöniemi, M., & Katz, M. D. (2024) · International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP) · doi:10.1109/csndsp60683.2024.10636569 · Cited by 1
Intensity of an oxygen saturation image improved using scanning NIR-LED light irradiation
Tsai, H., Yang, C., Hung, M.-W., & Huang, K. (2014) · Optical Review · doi:10.1007/s10043-014-0115-9 · Cited by 1
VeinLoc: Surface Blood Vessel Detector1
Agarwal, D., & Vidhya, S. (2015) · Journal of Medical Devices · doi:10.1115/1.4030151 · Cited by 1
Skkliarskyi, V. I., & Matviiv, R. (2018) · IEEE International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) · doi:10.1109/tcset.2018.8336304 · Cited by 1
Multi-layered Optical Phantom for Spectroscopic Measurements of Skin
Aizu, Y., Maeda, T., Nishidate, I., & Yuasa, T. (2019) · Nippon Laser Igakkaishi · doi:10.2530/jslsm.jslsm-40_0028 · Cited by 1
Tissue mimicking phantoms for fluorescence imaging
Shupletsov, V. V., Kandurova, K., Stavtsev, D. D., Aleksandr, S., Potapova, E., Владимирович, Д. В., Vinokurov, A. Y., Podmasteryev, K. V., & Dunaev, A. (2020) · Saratov Fall Meeting: Optical and Nanotechnologies for Biology and Medicine (SFM) · doi:10.1117/12.2564389 · Cited by 1
Huong, A. K. C., Mahmud, W. M. H. W., & Ngu, X. T. I. (2020) · Indonesian Journal of Electrical Engineering and Computer Science · doi:10.11591/ijeecs.v19.i2.pp793-801 · Cited by 1
Li, J., Wang, J., Yi, X., Liu, Z., Wei, T., Yan, J., & Xue, B. (2020) · Springer series in materials science · doi:10.1007/978-981-15-7949-3_11 · Cited by 1
Galaktionov, I. V., Sheldakova, J., Nikitin, A. N., & Kudryashov, A. V. (2020) · XXVIII Международный симпозиум «Оптика атмосферы и океана. Физика атмосферы» · doi:10.1117/12.2575723 · Cited by 1
LaRochelle, E. P. M., & Pogue, B. W. (2020) · Journal of Biomedical Optics · doi:10.1117/1.jbo.25.11.116004 · Cited by 1
Semi-Analytical Effective Layer Model for the Skin in the SWIR Spectral Range
Salem, A. M., Othman, A. M., Sabry, Y. M., & Khalil, D. A. M. (2020) · Frontiers in Optics · doi:10.1364/fio.2020.jth4b.26 · Cited by 1
Hülsbusch, M., & Blažek, V. (2021) · Biological and medical physics, biomedical engineering · doi:10.1007/978-981-15-5449-0_10 · Cited by 1
Noninvasive imaging techniques as a quantitative analysis of Kaposi's sarcoma skin lesions
Vogel, A. J. (2007) · Cited by 1
Arifler, D. (2005) · Texas ScholarWorks (Texas Digital Library) · Cited by 1
Kanick, S. C., & Parker, R. S. (2007) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.699137 · Cited by 1
Impmvement of Inverse Fitting Algorinlm of Visible Reflectance Spectrum to Extract Skin Parameters
Choi, S. H., Im, C., & Jung, B. (2007) · 한국광학회지 · doi:10.3807/hkh.2007.18.3.179 · Cited by 1
Photoacoustic discrimination of viable and thermally coagulated blood for burn injury imaging
Talbert, R. J. (2007) · doi:10.32469/10355/5081 · Cited by 1
Theoretical evaluation of the light distribution and PDT dose for a multi-wavelength light source
Guachamin, V. J. S. (2019) · doi:10.11606/d.76.2019.tde-03092019-140452 · Cited by 1
Using quantitative diffuse multi spectral imaging method to assess Cushing disease treatment outcome
Afshari, A., Lodish, M., Ardeshirpour, Y., Gourgari, E., Keil, M. F., Chowdhry, F. A., Belyavskaya, E., Lyssikatos, C., Chemomordik, V., Stratakis, C. A., et al. (2014) · Biomedical optics · doi:10.1364/biomed.2014.bm3a.43
Tichauer, K. M., Kanick, S. C., Deharvengt, S. J., Samkoe, K. S., Hasan, T. G., Stan, R. V., & Pogue, B. W. (2014) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2037424
Cheng, K. D., Morita, Y., NAKAMACHI, E., Honda, N., & Awazu, K. (2014) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2061271
Xu, K., Liang, Y., & Zhu, X. (2011) · Optik · doi:10.1016/j.ijleo.2011.02.007
Simulation and algorithm for photothermal imaging of tissue oxygen saturation
Tepper, M., Ben‐David, M., & Gannot, I. (2009) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.815154
A Monte Carlo model for incoherent light propagation in human skin.
Trujillo, J. C. G., Mendez-Gamboa, J. A., & Cortés, M. P. (2008) · Biomedical optics · doi:10.1364/biomed.2008.bsue53
Klouch, N., Riane, H., Hamdache, F., & Addi, D. (2013) · The European Physical Journal Applied Physics · doi:10.1051/epjap/2013120287
Optoelectronic set for measuring reflectance spectrum of living human skin
Gryko, Ł., Zając, A., Gilewski, M., & Kulesza, E. (2015) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2205884
Feng, L. (2009) · OakTrust (Texas A&M University Libraries)
Research of Optical Radiation Absorption Process by Soft Periodontal Tissues
Kolpakov, A. V., Spiridonov, I. N., & Makarov, A. (2014) · Science and Education of the Bauman MSTU · doi:10.7463/1114.0735264
Nielsen, K. P., Stamnes, J. J., Stamnes, K. H., & Moan, J. E. (2006) · Biomedical optics · doi:10.1364/bio.2006.me43
The Simulation of the Recharging Method Based on Solar Radiation for an Implantable Biosensor
Li, Y., Song, Y., Kong, X., Li, M., Zhao, Y., Hao, Q., & Gao, T. (2016) · Sensors · doi:10.3390/s16091468
Galaktionov, I. V., Kudryashov, A. V., Sheldakova, J., Nikitin, A. N., & Samarkin, V. (2018) · Laser Resonators, Microresonators, and Beam Control · doi:10.1117/12.2297080
Pimentel, M. L. (2017) · doi:10.11606/t.23.2017.tde-04072017-092958
Development of non-invasive techniques for bladder cancer diagnosis and therapy
Palmer, S. G. (2016) · Discovery Research Portal (University of Dundee)
Chen, G., & Huang, J. Y. (2018) · Journal of Spectral Imaging · doi:10.1255/jsi.2018.a12
Study on Light Source Spectrum of Jaundice Phototherapy Apparatus
薛, 冬. (2018) · Optoelectronics · doi:10.12677/oe.2018.84026
Lazer Gücü ve Işın Taramasının Kombinasyonu ile Isısal Doku Terapisinin Bilgisayar Simülasyonları
Tozburun, S. (2019) · Deu Muhendislik Fakultesi Fen ve Muhendislik · doi:10.21205/deufmd.2019216129
Noninvasive Quantitative Tissue Biopsy Using Precise Optical Phantoms
Vijayaragavan, V., & Sujatha, N. (2019) · Springer eBooks · doi:10.1007/978-981-13-1477-3_4
Okawa, S., Hirasawa, T., Tsujita, K., Kushibiki, T., & Ishihara, M. (2019) · Nippon Laser Igakkaishi · doi:10.2530/jslsm.jslsm-40_0033
Wang, K., Pan, Y., Tong, S., Chen, X., Yuan, L., & Qiu, P. S. (2021) · Journal of Biophotonics · doi:10.1002/jbio.202100076
Optical Characterization of Buruli Ulcer by Diffuse Reflectance using LEDs illumination
Yable, D. K., Canale, L., Haba, T. C., Dupuis, P., Zoueu, J. T., & Zissis, G. (2021) · IEEE Industry Applications Society Annual Meeting (IAS) · doi:10.1109/ias48185.2021.9677047
(2010) · Elsevier eBooks · doi:10.1016/b978-0-12-375093-8.00015-0
Phase-only spatial light modulator for focusing a moderately scattered visible range laser beam
Galaktionov, I. V., Sheldakova, J., Nikitin, A. N., Toporovsky, V. V., & Kudryashov, A. V. (2022) · doi:10.1117/12.2631997
Absorption of Light and Its Estimation in Skin Tissue
Aizu, Y., & Yuasa, T. (2020) · The Review of Laser Engineering · doi:10.2184/lsj.48.12_649
Oxygen Saturation Monitor Model Design for Freediving Implementation
Razzhivina, K. R., Kamarchuk, A. V., & Shiryaev, D. S. (2023) · Reviews on advanced materials and technologies · doi:10.17586/2687-0568-2023-5-1-33-38
Tsai, H., Chao, L.-C., Lin, Y., Huang, K., Chou, C.-H., Hsu, H.-C., & Chiang, D. (2023) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea57477.2023.10171897
Saiko, G., & Douplik, A. (2023) · doi:10.32920/24092115
Xu, K., & Arbab, M. H. (2023) · Research Square · doi:10.21203/rs.3.rs-3745690/v1
Xu, K., & Arbab, M. H. (2024) · Polarized Light and Optical Angular Momentum for Biomedical Diagnostics · doi:10.1117/12.3004221
Generating realistic infrared spectra using artificial neural networks
Győry, L., Gergely, S., & Hanzelik, P. P. (2024) · Journal of Chemometrics · doi:10.1002/cem.3573
The impact of photobiomodulation light probe design on light propagation in tissues
Fortunato, T. C., Palamoni, O. P., Santos, S. M. B., Lima, V. P. G., & Moriyama, L. T. (2024) · Tissue Optics and Photonics · doi:10.1117/12.3016157
Fortunato, T. C., Palamoni, O. P., Santos, S. M. B., Lima, V. P. G., & Moriyama, L. T. (2024) · Tissue Optics and Photonics · doi:10.1117/12.3017664
Blanquer, G., Vasseur, C., Vernay, A., Blandin, P., Bednarek, X., & Perriollat, M. (2024) · Tissue Optics and Photonics · doi:10.1117/12.3017625
Xiao, S., Sun, Y., Vardaki, M. Z., & Liu, W. (2024) · Optics Letters · doi:10.1364/ol.532793
Gao, Y., Feng, T., Zuo, C., & Ma, H. (2024) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2822/1/012036
Lefebvre, A., Hanamoto, W., Park, J., Dewalle, A. S., Grolez, G. P., Delhem, N., Mortier, L., & Kim, B. (2024) · IEEE CPMT Symposium Japan (ICSJ) · doi:10.1109/icsj62869.2024.10804694
Isaac, Z., Heerikhuisen, J., & Reid, V. M. (2025) · Scientific Reports · doi:10.1038/s41598-024-72686-4
Harunani, M., Shen, M., Nussinov, Z., & Shmuylovich, L. (2025) · Optical Interactions with Tissue and Cells · doi:10.1117/12.3044143
In silico Evaluation Based on Tissue Optics for Picosecond Laser Treatment of Pigmented Lesions
Shimojo, Y., Tsuruta, D., Ozawa, T., & Kono, T. (2025) · Nippon Laser Igakkaishi · doi:10.2530/jslsm.jslsm-46_0011
Tsai, H., Xu, J.-W., Lin, Y., Huang, K., Lee, C.-J., & Lu, Y.-P. (2025) · IEEE International Instrumentation and Measurement Technology Conference · doi:10.1109/i2mtc62753.2025.11079068
Lighting the Wounds: How LED Technology Could Revolutionize Early Detection of Buruli Ulcer
Yable, D. K., Soro, A. K., Kossonou, K. R., Asseu, O., & Haba, C. T. (2025) · Open Journal of Applied Sciences · doi:10.4236/ojapps.2025.159182
Li, Y., Liu, Z., Yu, S., Fu, Q., Li, Y., Wang, C., & Shi, H. (2025) · Optics · doi:10.3390/opt6040047
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
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
