The optimal measurement matrix with minimal condition number for double Stokes-Mueller polarimetry

Chunquan Lai; Yanqiu Li; Jingxian Wu; Jiaming Liu

doi:10.1117/12.2652088

20 January 2023 The optimal measurement matrix with minimal condition number for double Stokes-Mueller polarimetry

Chunquan Lai, Yanqiu Li, Jingxian Wu, Jiaming Liu

Proceedings Volume 12560, AOPC 2022: Biomedical Optics; 125600B (2023) https://doi.org/10.1117/12.2652088
Event: Applied Optics and Photonics China 2022 (AOPC2022), 2022, Beijing, China

Abstract

The Double Stokes-Mueller polarimetry (DSMP) is an efficient imaging technique that extract the second-order nonlinear optical properties of tissues. Many errors are inevitably introduced into DSMP in medical estimating, such as intensity errors and instrument errors. In order to improve the precision in medical estimating, we optimized the optical measurement of the polarimeter through the following steps. Firstly, we introduce the principle of DSMP. The double Mueller matrix of DSMP is 4 × 9 matrix and thus the polarization state generator (PSG) generates 9 different polarization states of incident light and the polarization state analyzer (PSA) performs 4 measurement states to analyzes every state of the emergent light. Secondly, we demonstrate the 36×36 measurement matrix for obtaining the double Mueller matrix of DSMP. Condition number is used to be the evolution for the measurement matrix. Finally, we post the result of optimal azimuth angles for the measurement matrix. Minimal condition number for DSMP is 8.07. The experiment is proved that the optimal design of the measurement can well perform.

Citation Download Citation

Chunquan Lai, Yanqiu Li, Jingxian Wu, and Jiaming Liu "The optimal measurement matrix with minimal condition number for double Stokes-Mueller polarimetry", Proc. SPIE 12560, AOPC 2022: Biomedical Optics, 125600B (20 January 2023); https://doi.org/10.1117/12.2652088

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