Structured light imaging mesoscopy: detection of embedded morphological changes in superficial tissues
PMCID: PMC12175002
PMID: 40534904
DOI: 10.1117/1.JBO.30.6.065001
Journal: Journal of biomedical optics
Publication Date: 2025-6-18
Authors: Parsanasab M, Mehendale AM, Karrobi K, Roblyer D, Venugopalan V
Key Points
- SLIM provides a novel, non-invasive method for detecting subsurface tissue microstructural changes
- Optimal imaging parameters vary significantly based on skin tone, requiring tailored wavelength-frequency approaches
- The technique offers potential clinical applications in tracking tissue changes in conditions like skin cancer, aging, and scleroderma
Summary
This computational study introduces Structured Light Imaging Mesoscopy (SLIM), an innovative optical imaging technique designed to detect subsurface tissue structural changes with enhanced precision. Using Monte Carlo simulations on a four-layer skin model, researchers explored how spatial frequency domain (SFD) reflectance measurements can characterize microstructural alterations in the superficial dermis across different skin tones.
The research revealed critical wavelength-spatial frequency (λ-fx) combinations that optimize detection of embedded tissue scattering changes. Notably, the optimal detection parameters varied significantly with skin pigmentation: light skin tones showed maximal reflectance changes at 621 nm and 0.33/mm spatial frequency, while darker skin tones demonstrated optimal detection at near-infrared wavelengths (≥811 nm) and 0.25/mm spatial frequency. The most consistent results across skin tones were achieved using 851 nm wavelength and 0.22/mm spatial frequency.