Monte Carlo Modeling of SORS

Material-agnostic Monte Carlo simulations characterizing how spatially offset Raman spectroscopy (SORS) behaves across turbid media with varying optical properties. Establishes scaling laws relating source–detector offset to sampling depth, enabling geometry-based instrument design without iterative physical calibration.

Published in Analyst (2024), 150th Anniversary Collection.

Contributions

1. Implemented GPU-accelerated Monte Carlo engine for SORS photon transport.
2. Systematically varied scattering and absorption coefficients across a parameter space spanning tissue-relevant materials.
3. Derived analytical scaling laws for depth prediction and lateral localization as functions of offset geometry.