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Spectral and Angle-Resolved Magneto-Optical Characterization of Photonic Nanostructures

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Published on: November 21, 2019

Mapping local optical axis in birefringent samples using polarization-sensitive optical coherence tomography.

Chuanmao Fan¹, Gang Yao

¹University of Missouri, Department of Biological Engineering, Columbia, Missouri, 65211, USA.

Journal of Biomedical Optics

|October 11, 2012

Summary

This summary is machine-generated.

A new algorithm determines the local optical axis in birefringent samples using polarization-sensitive optical coherence tomography (PSOCT). This method accurately maps optical axis variations with depth, revealing hidden sample features.

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Area of Science:

Biomedical Optics
Optical Physics
Materials Science

Background:

Conventional polarization-sensitive optical coherence tomography (PSOCT) typically analyzes birefringent samples using a single circularly polarized incident light.
Extracting depth-resolved local optical axis information from PSOCT data presents a significant challenge.

Discussion:

This study introduces a novel algorithm to compute depth-resolved local optical axis in birefringent samples from PSOCT data.
The algorithm constructs round-trip sample Jones matrices and employs an iterative method to derive depth-resolved local Jones matrices.

Key Insights:

The developed algorithm successfully calculates the local optical axis, providing depth-resolved information.
Validation was performed on samples with both homogeneous and depth-varying optical axes, confirming the algorithm's accuracy.
The method reveals sample features not discernible with standard imaging techniques.

Outlook:

This technique holds potential for enhanced characterization of optically anisotropic materials.
Further applications may include advanced biomedical imaging and materials science analysis.
The algorithm offers a pathway to more detailed structural and functional analysis of birefringent tissues and materials.