Monte Carlo simulation of sphere-cylinder scattering medium for double Stokes-Mueller polarimetry

Monte Carlo simulation offers significant advantages in the prediction of second harmonic generation polarization photon propagation behavior. The existing Monte Carlo (MC) simulation models, which primarily focus on sphere scattering particles, neglect the modeling of collagen fibers, which is the primary medium to generate the second harmonic signals. Additionally, the impact of structural changes in cylindrical collagen fibers on the nonlinear susceptibility ratio has not been sufficiently explored. In this paper, we propose an MC simulation of sphere-cylinder scattering mediums based on the DSMP. The MC simulation is divided into a three-layer structure consisting of sphere-cylinder-sphere configurations, based on the optical process of second harmonic generation. Furthermore, we analyze the impact of model parameter variations on the second-order nonlinear susceptibility. The results indicate that the augmentation of the second-order susceptibility ratio is observed when increasing the radius of sphere scattering models or decreasing their thickness. The increase in the radius of the cylinder scattering model and variation of orientation leads to an increase in the second-order susceptibility ratio R. Particularly, the orientation has a significant impact on the R value. This study provides valuable insights for the diagnosis of tissue abnormalities.

Authors

Institutions

Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1117/12.3032352
Primary Topic
Optical Polarization and Ellipsometry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Monte Carlo simulation of sphere-cylinder scattering medium for double Stokes-Mueller polarimetry

Jinxian Wu, Jiaming Liu, Yanqiu Li, Huancheng Zhang
Optical Polarization and Ellipsometry
article

Monte Carlo simulation of sphere-cylinder scattering medium for double Stokes-Mueller polarimetry

Jinxian Wu, Jiaming Liu, Yanqiu Li, Huancheng Zhang
article en

Abstract

Monte Carlo simulation offers significant advantages in the prediction of second harmonic generation polarization photon propagation behavior. The existing Monte Carlo (MC) simulation models, which primarily focus on sphere scattering particles, neglect the modeling of collagen fibers, which is the primary medium to generate the second harmonic signals. Additionally, the impact of structural changes in cylindrical collagen fibers on the nonlinear susceptibility ratio has not been sufficiently explored. In this paper, we propose an MC simulation of sphere-cylinder scattering mediums based on the DSMP. The MC simulation is divided into a three-layer structure consisting of sphere-cylinder-sphere configurations, based on the optical process of second harmonic generation. Furthermore, we analyze the impact of model parameter variations on the second-order nonlinear susceptibility. The results indicate that the augmentation of the second-order susceptibility ratio is observed when increasing the radius of sphere scattering models or decreasing their thickness. The increase in the radius of the cylinder scattering model and variation of orientation leads to an increase in the second-order susceptibility ratio R. Particularly, the orientation has a significant impact on the R value. This study provides valuable insights for the diagnosis of tissue abnormalities.

Beijing Institute of Technology (CN)
Openalex Percentile: Top 84%
Optical Polarization and Ellipsometry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.