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Scattering And Absorption of Light in Planetary Regoliths
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Study of diffuse scattering on facial surface using ray tracing approach.

Po-Yen Lai1, Ray Jia Hong Ng2, Tatsuya Omotezako3

  • 1Institute of High Performance Computing (IHPC), Agency for Science Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore, 138632, Republic of Singapore. lai_po-yen@ihpc.a-star.edu.sg.

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|April 12, 2025
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Summary

Fine skin texture significantly enhances light scattering and reflection, boosting radiance and a soft-focus effect. This finding is crucial for understanding skin appearance and developing new cosmetic and dermatological applications.

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Area of Science:

  • Biophysics
  • Optical Physics
  • Dermatology

Background:

  • Skin surface topography influences light interaction, affecting perceived skin appearance.
  • Subvisible micro texture (SMT) and macro texture are key topographic attributes.
  • Understanding these interactions is vital for cosmetics and dermatology.

Purpose of the Study:

  • To quantitatively link subvisible micro texture (SMT) and macro texture to skin optical properties.
  • To determine the role of topographic attributes in light scattering, diffuse reflection, and transmission.
  • To provide insights for cosmetics, dermatology, and aesthetic medical imaging.

Main Methods:

  • Validated ray-tracing simulations were employed.
  • A 2D subvisible micro texture model was developed and validated.
  • The study analyzed the impact of SMT parameters (width-to-height ratio) on light interaction.

Main Results:

  • Subvisible micro texture (SMT) is the dominant factor in light scattering.
  • Finer SMT (smaller width-to-height ratio) increases diffuse reflection and soft-focus effect, enhancing skin radiance.
  • Smaller SMT ratios also increase the amount of light exiting the skin surface.
  • Macro texture has a less significant impact on scattering compared to SMT.

Conclusions:

  • Subvisible micro texture plays a critical role in determining skin's optical properties and appearance.
  • The validated model accurately predicts light-skin interactions based on topographic features.
  • Findings offer valuable insights for optimizing cosmetic formulations and dermatological treatments.