Algorithm for rapid determination of optical scattering parameters.

Area of Science:

• Biomedical Optics
• Metrology
• Computational Physics

Background:

• Developing accurate diffuse optical properties for reference standards is crucial for biomedical applications.
• Existing methods for determining optical properties can be computationally intensive and time-consuming.

Purpose of the Study:

• To describe a novel algorithm for determining diffuse optical properties of a solid reference standard.
• To provide a method for calculating best-fit parameters and statistical uncertainties.
• To achieve efficient computation for optical property measurements.

Main Methods:

• Utilized the NIST Spectral Tri-function Automated Reference Reflectometer (STARR) facility.
• Developed an algorithm based on profile log-likelihood, incorporating experimental and Monte Carlo uncertainties.
• Employed iterative reduction of the parameter search space and importance sampling for efficient calculation.

Main Results:

• The algorithm efficiently determines best-fit parameters and statistical uncertainties for diffuse optical properties.
• Achieved dominance of experimental uncertainty over Monte Carlo uncertainty by approximately 1.28·10^6 samples.
• The implemented method is approximately six times faster than a standard Monte Carlo simulation and 64 times faster than Particle Swarm Optimization.

Conclusions:

• The developed algorithm provides an efficient and accurate method for characterizing diffuse optical properties of reference standards.
• This approach offers significant computational advantages for optical property measurements, particularly for materials mimicking human skin.
• The findings contribute to improved metrology for biomedical optics.