Revealing complex optical phenomena through vectorial metrics
Revealing complex optical phenomena through vectorial metrics
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DOI：
10.1117/1.ap.4.2.026001
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发表时间：
2022-03-01
影响因子：
17.3
通讯作者：
Booth, Martin J.
中科院分区：
文献类型：
--
作者：
He, Chao;Chang, Jintao;Booth, Martin J.
矢量偏振分辨成像的进步为从基础物理到临床诊断的应用带来了新的能力。成像偏振测量需要确定每一点的Mueller矩阵（MM），从而提供对物体矢量特性的完整描述。尽管形成了一个全面的表示，MM通常不提供容易解释的信息对象的内部结构。某些更简单的向量度量是从MM元素的子集导出的。这些指标允许提取的签名，提供了复杂系统的隐藏的光学特性的直接指标，同时具有有趣的不对称性，什么信息可以或不能通过这些指标推断。我们利用这些特性来揭示光的自旋霍尔效应，推断激光写入光子波导内的微观结构，并通过分析健康和癌变组织进行快速病理诊断。这为更广泛地使用这种非对称推断矢量信息提供了新的见解。
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.