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07:56
A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
Published on: September 5, 2019
Monte-Carlo-based phase retardation estimator for polarization sensitive optical coherence tomography
Lian Duan1, Shuichi Makita, Masahiro Yamanari
1Computational Optics Group at the University of Tsukuba, Tsukuba, Ibaraki, Japan.
Optics Express
|September 22, 2011
Summary
A new Monte Carlo method improves phase retardation estimation in polarization-sensitive optical coherence tomography (PS-OCT). This technique corrects systematic errors, enhancing quantitative assessments in biological samples.
Area of Science:
- Biomedical Optics
- Optical Coherence Tomography
- Quantitative Imaging
Background:
- Polarization-sensitive optical coherence tomography (PS-OCT) measures phase retardation.
- Existing PS-OCT methods suffer from systematic errors due to non-symmetric phase retardation distributions.
- These errors degrade the accuracy of quantitative assessments.
Purpose of the Study:
- To develop a novel Monte Carlo-based estimator to correct systematic errors in PS-OCT phase retardation measurements.
- To improve the accuracy and reliability of quantitative PS-OCT analysis.
Main Methods:
- Investigated noise properties of phase retardation using Monte Carlo simulations and experimental data.
- Designed a distribution transform function based on simulation results to correct systematic errors.
- Applied a mean estimator after distribution transformation for improved phase retardation estimation.
Main Results:
- The developed Monte Carlo-based estimator significantly reduces systematic errors in phase retardation measurement.
- The new method provides more accurate phase retardation estimations compared to standard mean estimators.
- Validated the method through numerical simulations and experiments on biological samples.
Conclusions:
- The Monte Carlo-based phase retardation estimator effectively corrects systematic errors in PS-OCT.
- This improved estimation enhances the quantitative assessment capabilities of PS-OCT.
- The method shows potential for applications in both in vitro and in vivo biological imaging.
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