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Updated: Sep 19, 2025

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Structured light imaging mesoscopy: detection of embedded morphological changes in superficial tissues.

Mahsa Parsanasab1,2, Aarohi Mahesh Mehendale3, Kavon Karrobi3

  • 1University of California, Irvine, Department of Chemical and Biomolecular Engineering, Irvine, California, United States.

Journal of Biomedical Optics
|June 19, 2025
PubMed
Summary

Structured light imaging mesoscopy (SLIM) offers a new way to detect subsurface tissue changes using spatial frequency domain (SFD) reflectance. This method optimizes wavelength-spatial frequency pairs for improved sensitivity in detecting scattering variations in the dermis across different skin tones.

Keywords:
Monte Carlo simulationinverse problemsperturbation methodsspatial frequency domain measurementsubsurface morphological change detection

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Area of Science:

  • Optical imaging
  • Biophysics
  • Dermatology

Background:

  • Current optical methods for layered tissue analysis often rely on complex inverse problem solutions, leading to potential uncertainties.
  • Subsurface scattering changes in the superficial dermis are critical indicators for various skin pathologies.

Purpose of the Study:

  • To introduce Structured Light Imaging Mesoscopy (SLIM) as an alternative to inverse problem approaches for optical characterization of layered tissues.
  • To identify optimal wavelength-spatial frequency (λ-fx) combinations for detecting scattering changes in the superficial dermis using SFD reflectance.

Main Methods:

  • Utilized Monte Carlo simulations within a four-layer skin model.
  • Analyzed spatial frequency domain (SFD) reflectance changes due to superficial dermal scattering variations.
  • Simulated different epidermal melanin concentrations to account for skin tone variations across wavelengths (471-851 nm) and spatial frequencies (0-0.5/mm).

Main Results:

  • Identified specific (λ-fx) pairs that maximize SFD reflectance changes from superficial dermal scattering alterations.
  • Optimal detection wavelengths and spatial frequencies varied with skin tone; for light skin, λ=621 nm and fx≈0.33/mm; for darker skin, λ≥811 nm and fx≈0.25/mm.
  • Using λ=851 nm and fx≈0.22/mm provided the most uniform detection of scattering changes across all simulated skin tones.

Conclusions:

  • SLIM effectively detects morphological changes in subsurface tissue layers by utilizing the inherent sensitivity of SFD reflectance.
  • This methodology simplifies the clinical tracking of subsurface microstructural alterations, bypassing the need for complex inverse problem computations.