期刊
ADVANCED PHOTONICS
卷 4, 期 2, 页码 -出版社
SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
DOI: 10.1117/1.AP.4.2.026001
关键词
polarization imaging; vectorial metrics; Mueller matrix
类别
资金
- European Research Council [695140]
- Engineering and Physical Sciences Research Council (UK) [EP/R004803/01]
- National Natural Science Foundation of China [11974206, 61527826]
- Shenzhen Fundamental Research and Discipline Layout Project [JCYJ20170412170814624]
- H2020-MSCAIF-2018 Program [838199]
- St John's College at University of Oxford
Advances in vectorial polarization-resolved imaging have important applications in physics and clinical diagnosis. By extracting metric indicators of vector properties, hidden optical properties can be directly indicated and intriguing asymmetry can be revealed.
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.
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