Depth Penetration of Light into Skin as a Function of Wavelength from 200 to 1000 nm

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  • Louise Finlayson
    SUPA School of Physics and Astronomy University of St Andrews St Andrews UK
  • Isla R. M. Barnard
    SUPA School of Physics and Astronomy University of St Andrews St Andrews UK
  • Lewis McMillan
    SUPA School of Physics and Astronomy University of St Andrews St Andrews UK
  • Sally H. Ibbotson
    Photobiology Unit Ninewells Hospital University of Dundee Dundee UK
  • C. Tom A. Brown
    SUPA School of Physics and Astronomy University of St Andrews St Andrews UK
  • Ewan Eadie
    Photobiology Unit Ninewells Hospital NHS Tayside Dundee UK
  • Kenneth Wood
    SUPA School of Physics and Astronomy University of St Andrews St Andrews UK

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<jats:title>ABSTRACT</jats:title><jats:p>An increase in the use of light‐based technology and medical devices has created a demand for informative and accessible data showing the depth that light penetrates into skin and how this varies with wavelength. These data would be particularly beneficial in many areas of medical research and would support the use and development of disease‐targeted light‐based therapies for specific skin diseases, based on increased understanding of wavelength‐dependency of cutaneous penetration effects. We have used Monte Carlo radiative transport (MCRT) to simulate light propagation through a multi‐layered skin model for the wavelength range of 200–1000 nm. We further adapted the simulation to compare the effect of direct and diffuse light sources, varying incident angles and stratum corneum thickness. The lateral spread of light in skin was also investigated. As anticipated, we found that the penetration depth of light into skin varies with wavelength in accordance with the optical properties of skin. Penetration depth of ultraviolet radiation was also increased when the stratum corneum was thinner. These observations enhance understanding of the wavelength‐dependency and characteristics of light penetration of skin, which has potential for clinical impact regarding optimizing light‐based diagnostic and therapeutic approaches for skin disease.</jats:p>

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