Diffuse reflectance spectroscopy is a rapidly growing technology in the biophotonics
community where it has shown promise in its ability to classify different tissues. In the steady …

Colorectal cancer (CRC) is the 3rd most common and the 2nd most deadly type of cancer
worldwide. Understanding the biochemical and microstructural aspects of carcinogenesis is …

For a long time, steady-state reflectance spectroscopy measurements have been performed
so that diffusion theory could be used to extract tissue optical properties from the reflectance …

A robust modelling method was proposed to extract chromophore information in multi-
layered skin tissue with spatially-resolved diffuse reflectance spectroscopy. Artificial neural …

The development of photomedical modalities for diagnostics and treatment has created a
need for knowledge of the optical properties of the targeted biological tissues. These …

We propose and objectively evaluate an inverse Monte Carlo model for estimation of
absorption and reduced scattering coefficients and similarity parameter γ from spatially …

A two-layer Monte Carlo lookup table-based inverse model is validated with two-layered
phantoms across physiologically relevant optical property ranges. Reflectance data for …

Subdiffusive reflectance captured at short source-detector separations provides increased
sensitivity to the scattering phase function and hence allows superficial probing of the tissue …

Significance: Physiological parameters extracted from diffuse reflectance spectroscopy
(DRS) provide clinicians quantitative information about tissue that helps aid in diagnosis …

The Monte Carlo (MC) method is one of the most widely used numerical tools to model the
light interaction with tissue. However, due to the low photon collection efficiency and the …