Inverse spectroscopic optical coherence tomography (ISOCT) for characterization of particle size and concentration

TL;DR

This paper introduces an inverse spectroscopic OCT method that estimates depth-resolved particle size and concentration using Mie theory, enabling detailed characterization of scattering samples.

Contribution

The study develops a novel IS-OCT algorithm based on Mie theory for accurate depth-resolved particle characterization, which was validated on polystyrene microspheres.

Findings

Depth-dependent estimates of particle concentration and diameter achieved.

Method demonstrated successfully on polystyrene microspheres.

Potential for detailed tissue microstructure analysis.

Abstract

Inverse spectroscopic optical coherence tomography (IS-OCT) methods apply inverse problem formulations to acquired spectra to estimate depth-resolved sample properties. In the current study, we modelled the time-frequency-distributions using Lambert-Beer law and implemented IS-OCT using backscattering spectra calculated from Mie theory, then demonstrated the algorithm on polystyrene microspheres under idealized conditions. The results are significant because the method generates depth dependent estimates of both the concentration and diameter of scattering particles.