Effect of probe geometry and optical properties on the sampling depth for diffuse reflectance spectroscopy

Area of Science:

• Biomedical Optics
• Spectroscopy
• Computational Modeling

Background:

• Diffuse reflectance spectroscopy (DRS) is a non-invasive optical technique.
• Understanding light sampling depth is crucial for accurate DRS measurements.
• Current models may not fully capture the influence of optical properties and probe geometry.

Purpose of the Study:

• To experimentally and computationally analyze the sampling depth of light in DRS.
• To investigate the impact of optical properties and probe geometry on sampling depth.
• To develop a predictive mathematical expression for sampling depth.

Main Methods:

• Utilized diffuse reflectance spectroscopy for experimental analysis.
• Employed Monte Carlo (MC) simulations to model light transport.
• Validated MC model predictions against experimental measurements.

Main Results:

• MC model accurately predicted sampling depth across diverse optical properties and probe geometries.
• Demonstrated excellent agreement between computational estimates and experimental data.
• Identified key parameters influencing sampling depth.

Conclusions:

• The developed MC model provides a reliable method for assessing DRS sampling depth.
• A novel mathematical expression for sampling depth was derived.
• This work enhances the quantitative accuracy of DRS applications.