Open Access
Issue
J. Eur. Opt. Society-Rapid Publ.
Volume 22, Number 1, 2026
Article Number 48
Number of page(s) 11
DOI https://doi.org/10.1051/jeos/2026044
Published online 03 June 2026
  1. Jöbsis FF, Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters, Science 198(4323), 1264–1267 (1977). [CrossRef] [PubMed] [Google Scholar]
  2. Richards-Kortum R, Sevick-Muraca E, Quantitative optical spectroscopy for tissue diagnosis, Ann. Rev.Phys. Chem. 47, 555–606 (1996). [Google Scholar]
  3. Ntziachristos V, Ripoll J, Wang LV, Weissleder R, Looking and listening to light: the evolution of whole-body photonic imaging, Nat. Biotechnol. 23, 313–320 (2005). [Google Scholar]
  4. Anderson RR, Parrish JA, Selective photothermolysis: precise microsurgery by selective absorption of pulsed radiation, Science 220(4596), 524–527 (1983). [Google Scholar]
  5. Jacques SL, Optical properties of biological tissues: a review, Phys. Med. Biol. 58(11), R37–R65 (2013). [CrossRef] [Google Scholar]
  6. Bashkatov AN, Genina EA, Kochubey VI, Tuchin VV, Optical properties of human skin, subcutaneous and mucous tissues in the wavelength range from 400 to 2000 nm, J. Phys. D: Appl. Phys. 38(15), 2543–2555 (2005). [Google Scholar]
  7. Arridge SR, Optical tomography in medical imaging, Inverse Probl. 15(2), R41–R93 (1999). [NASA ADS] [CrossRef] [Google Scholar]
  8. Haskell RC, Svaasand LO, Tsay T, Feng T, McAdams MS, Tromberg BJ, Boundary conditions for the diffusion equation in radiative transfer, J. Opt. Soc. America A 11(10), 2727–2741 (1994). [Google Scholar]
  9. Wang L, Jacques SL, Zheng L, Mcml–monte carlo modeling of light transport in multi-layered tissues, Comp. Meth. Progr. Biomed. 47(2), 131–146 (1995). [Google Scholar]
  10. Kienle A, Patterson MS, Dögnitz N, Bays R, Wagnières G, van den Bergh H, Noninvasive determination of the optical properties of two-layered turbid media, Appl. Opt. 37(4), 779–791 (1998). [Google Scholar]
  11. Dehghani H, Srinivasan S, Pogue BW, Gibson A, Numerical modelling and image reconstruction in diffuse optical tomography, Phil. Trans. R. Soc. A 367(1900), 3073–3093 (2009). [Google Scholar]
  12. Zhang Y, Chen B, Li D, Propagation of polarized light in the biological tissue: a numerical study by polarized geometric monte carlo method, Appl. Opt. 55(10), 2681–2691 (2016). [Google Scholar]
  13. Durduran T, Choe R, Baker WB, Yodh AG, Diffuse optics for tissue monitoring and tomography, Rep. Prog. Phys. 73(7), 076701 (2010). [Google Scholar]
  14. Griffiths C, Jonathan B, Bleiker T, Hussain W, Simpson R, editors, Rook’s Textbook of Dermatology (Wiley-Blackwell, Oxford, UK, 10th edn, 2024). [Google Scholar]
  15. Páez MCZ, Gusmão LVV, Cartell AS, Wortsman X, de Almeida CÁ, Canella Moraes do Carmo CCM, Duque-Estrada B, Anatomy of scalp: clinical, imaging, and histological aspects, in Atlas of Diagnostic Imaging in Dermatology, (Springer Nature 2025), pp. 25–35. [Google Scholar]
  16. Zhou Y, Chan KKH, Lai T, Tang S, Characterizing refractive index and thickness of biological tissues using combined multiphoton microscopy and optical coherence tomography, Biomed. Opt. Exp. 4(11), 38–50 (2012). [Google Scholar]
  17. Chandrasekhar S, Radiative transfer. Classic monograph establishing the foundations of radiative transfer theory (Dover Publications, New York, 1950). [Google Scholar]
  18. Mishchenko MI, Travis LD, Lacis AA, Multiple scattering of light by particles: radiative transfer and coherent backscattering. in Modern systematic treatment of radiative transfer and similarity relations (Cambridge University Press, Cambridge, 2006). [Google Scholar]
  19. Fukui Y, Ajichi Y, Okada E, Monte carlo prediction of near-infrared light propagation in realistic adult and neonatal head models, Appl. Opt. 42(16), 2881–2887 (2003). [Google Scholar]
  20. D. A. Boas, C. Pitris, N. Ramanujam, editors, Handbook of Biomedical Optics (CRC Press, Boca Raton, FL, 2011). [Google Scholar]
  21. Li W, Liu C, Song P. Unified gas-kinetic particle method for frequency-dependent radiation transport (2023). [Google Scholar]
  22. Di Rocco HO, Carbone NA, Iriarte DI, Pomarico JA, Sandoval HFR, Modeling transition diffusive–nondiffusive transport in a turbid media and application to time-resolved reflectance, J. Quant. Spectrosc. Radiat. Transf. 120, 16–22 (2013). [Google Scholar]
  23. Yöner SI, Aksoy ME, Südor HC, İzzetoğlu K, Bozkurt B, Dinçer A, Drsvision: a machine learning tool for cortical region-specific fnirs calibration based on cadaveric head mri, Sensors, 25(20), 6340 (2025). [Google Scholar]
  24. COMSOL AB. COMSOL Multiphysics (COMSOL AB, Stockholm, Sweden, 2024). Version 6.x. [Google Scholar]
  25. COMSOL AB. Ray Optics Module User’s Guide (COMSOL AB, Stockholm, Sweden, 2024). Version 6.2. [Google Scholar]
  26. Born M, Wolf E, Principles of Optics, 7th edn. (Cambridge University Press, Cambridge, 1999). [Google Scholar]
  27. Jeulin D. Analysis and modeling of 3d microstructures, in Mathematical Morphology (John Wiley & Sons, Hoboken, NJ, 2013), pp. 421–444. [Google Scholar]
  28. Shaiek A, Flament F, Francois G, Lefebvre-Descamps V, Barla C, Vicic M, Giron F, Bazin R, A new tool to quantify the geometrical characteristics of facial skin pores. changes with age and a making-up procedure in caucasian women, Skin Res. Technol. 23, 249–257 (2016). [Google Scholar]
  29. Makki S, Barbenel JC, Agache P, A quantitative method for the assessment of the microtopography of human skin, Acta Dermato-Venereologica 59, 285–291 (1979). [Google Scholar]
  30. Omotezako T, Rodrigues MR, Neo Eleanor Y Wang GW, Chong B, Matsubara A, Subvisible microscale texture is present on the crista cutis of the skin and interacts with incident light to create a soft and radiant “shitsukan” appearance, Int. J. Cos. Sci. 47(4), 691–702 (2025). [Google Scholar]
  31. Haeussinger FB, Heinzel S, Hahn T, Schecklmann M, Ehlis AC, Fallgatter AJ. Simulation of near-infrared light absorption considering individual head and prefrontal cortex anatomy: implications for optical neuroimaging, PLoS One 6(10), e26377 (2011). [Google Scholar]
  32. Mahbub P, Leis J, Macka M, Chemometric approach to the calibration of light emitting diode based optical gas sensors using high-resolution transmission molecular absorption data, Analyt. Chem. 90(10), 5973–5976 (2018). [Google Scholar]
  33. Fang Q, Boas DA, Monte carlo simulation of photon migration in 3d turbid media accelerated by graphics processing units, Opt. Exp. 17(22), 20178–20190 (2009). [Google Scholar]
  34. Texas Instruments. OPT101 monolithic photodiode and single-supply transimpedance amplifier data sheet. Technical datasheet (2015). Rev. B. Available from Texas Instruments website. [Google Scholar]
  35. Vishay Intertechnology. BPW34 silicon pin photodiode datasheet (Technical datasheet, 2011). Rev. 2.1. Angle of half sensitivity φ = ±65°; Silicon PIN photodiode. Available from Vishay website. [Google Scholar]
  36. Moradi M, Chen Y, Monte carlo simulation of diffuse optical spectroscopy for 3d modeling of dental tissues, Sensors 23, 5118 (2023). [Google Scholar]
  37. Bürmen M, Pernuš F, Naglic P. Mcdataset: A public reference dataset of monte carlo simulated quantities for multilayered and voxelated tissues computed by massively parallel pyxopto python package, J. Biomed. Opt. 27, 083012 (2022). [Google Scholar]
  38. The MathWorks, Inc., MATLAB (The MathWorks, Inc., Natick, MA, USA, 2024). Version R20xx. [Google Scholar]
  39. Python Software Foundation, Python (Python Software Foundation, Wilmington, DE, USA, 2024). Version 3.12. [Google Scholar]
  40. Das SR, Avants BB, Pluta J, Wang H, Suh JW, Weiner MW, Mueller SG, Yushkevich PA. Measuring longitudinal change in the hippocampal formation from in vivo high-resolution T2-weighted MRI, NeuroImage 60(2), 1266–1279 (2012). [Google Scholar]
  41. Tong Y, Chen Q, Nichols TE, Rasetti R, Callicott JH, Berman KF, Weinberger DR, Mattay VS, Seeking optimal region-of-interest (roi) single-value summary measures for FMRI studies in imaging genetics, PLoS One 11(9), e0151391 (2016). [Google Scholar]
  42. Wyman DR, Patterson MS, Wilson BC, Similarity relations for anisotropic scattering in monte carlo simulations of deeply penetrating neutral particles, J. Computat. Phys. 81(1), 137–150 (1989). [Google Scholar]
  43. Graaff R, Aarnoudse JG, Zijp JR, Sloot PMA, de Mul FFM, Greve J, Koelink MH, Reduced light-scattering properties for mixtures of spherical particles: a simple approximation derived from mie calculations, Appl. Opt. 31(10), 1370–1376 (1992). [Google Scholar]
  44. Okada E, Delpy DT. Near-infrared light propagation in an adult head model. ii. effect of superficial tissue thickness on the sensitivity of the near-infrared spectroscopy signal, Appl. Opt. 42(16), 2915–2921 (2003). [Google Scholar]
  45. Borner K, Blood PD, Silverstein JC, Ruffalo M, Satija R, Teichmann SA, Pryhuber GJ, Misra RS, Purkerson JM, Fan J, Hickey JW, Molla G, Xu C, Zhang Y, Weber GM, Jain Y, Qaurooni D, Kong Y, HRA Team, Buckle A, Herr BW II, Human biomolecular atlas program (hubmap): 3d human reference atlas construction and usage, Nat. Meth. 22, 845–860 (2025). [Google Scholar]
  46. Tak S, Uga M, Flandin G, Dan I, Penny WD, Sensor space group analysis for fnirs data, J. Neurosci. Met. 264, 103–112 (2016). [Google Scholar]
  47. Yodh A, Chance B, Spectroscopy and imaging with diffusing light, Phys. Today 48(3), 34–40 (1995). [Google Scholar]

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