Chao He1、†、*, Jintao Chang2、3, Patrick S. Salter1, Yuanxing Shen3, Ben Dai4, Pengcheng Li3, Yihan Jin1, Samlan Chandran Thodika5, Mengmeng Li1, Aziz Tariq6, Jingyu Wang1, Jacopo Antonello1, Yang Dong3, Ji Qi7, Jianyu Lin8, Daniel S. Elson8, Min Zhang9, Honghui He3、*, Hui Ma2、3、*, and Martin J. Booth1、*
Author Affiliations
1University of Oxford, Department of Engineering Science, Oxford, United Kingdom2Tsinghua University, Department of Physics, Beijing, China3Tsinghua University, Tsinghua Shenzhen International Graduate School, Guangdong Engineering Center of Polarization Imaging and Sensing Technology, Shenzhen, China4The Chinese University of Hong Kong, Department of Statistics, Hong Kong, China5University Bordeaux, CNRS, LOMA, UMR 5798, Talence, France6Mirpur University of Science and Technology, Department of Physics, Mirpur, Pakistan7Research Center for Intelligent Sensing, Zhejiang Lab, Hangzhou, China8Imperial College London, Hamlyn Centre for Robotic Surgery, London, United Kingdom9Shenzhen Second People’s Hospital, Respiratory Department, Shenzhen, Chinashow less
DOI: 10.1117/1.AP.4.2.026001
Cite this Article
Chao He, Jintao Chang, Patrick S. Salter, Yuanxing Shen, Ben Dai, Pengcheng Li, Yihan Jin, Samlan Chandran Thodika, Mengmeng Li, Aziz Tariq, Jingyu Wang, Jacopo Antonello, Yang Dong, Ji Qi, Jianyu Lin, Daniel S. Elson, Min Zhang, Honghui He, Hui Ma, Martin J. Booth. Revealing complex optical phenomena through vectorial metrics[J]. Advanced Photonics, 2022, 4(2): 026001
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Abstract
Advances in vectorial polarization-resolved imaging are bringing new capabilities to applications ranging from fundamental physics through to clinical diagnosis. Imaging polarimetry requires determination of the Mueller matrix (MM) at every point, providing a complete description of an object’s vectorial properties. Despite forming a comprehensive representation, the MM does not usually provide easily interpretable information about the object’s internal structure. Certain simpler vectorial metrics are derived from subsets of the MM elements. These metrics permit extraction of signatures that provide direct indicators of hidden optical properties of complex systems, while featuring an intriguing asymmetry about what information can or cannot be inferred via these metrics. We harness such characteristics to reveal the spin Hall effect of light, infer microscopic structure within laser-written photonic waveguides, and conduct rapid pathological diagnosis through analysis of healthy and cancerous tissue. This provides new insight for the broader usage of such asymmetric inferred vectorial information.
