Huang Shao-Xin, Wu Geng-Bo, Chan Ka-Fai, Chen Bao-Jie, Xia Ming-Yao, Fromenteze Thomas, Decroze Cyril, Chan Chi Hou
Opt Express. 2021 May 10;29(10):14853-14867. doi: 10.1364/OE.417448.
Mueller matrix polarimetry (MMP) has been demonstrated and recognized as an effective approach to attaining imaging enhancement as well as revealing polarization properties of an imaged sample. Generally, a minimum of 16 combinations of intensity-only measurements involving both linear and circular polarizations are required to completely and accurately determine the 4 × 4 Mueller matrix (MM) and comprehensively describe the polarization properties of the sample. However, broadband circular polarizations (CP) are rather difficult to obtain for design and fabrication limitations in the terahertz region, which poses a challenge to the acquisition of the 4 × 4 MM. In this circumstance, the 3 × 3 MM degradation using only linear polarizations (LP) is preferred and sufficient for characterization of non-depolarizing samples. In this paper, a multi-spectral 3 × 3 MMP system based on the THz time-domain spectroscopy (THz-TDS) is established from 0.1 to 1 THz. The system demonstrated is capable of fulfilling the accurate determination of the 3 × 3 MM. The Mueller matrix polar decomposition (MMPD), modified to be compatible with the MM degradation, is employed to explore the fine details and properties of the sample. By signal post-processing techniques, the MM elements in the time domain are retrieved, and the time dimension reflecting the depth information facilitates the 3D reconstruction of the sample. This work provides a prototype for 3D imaging of biological samples at higher frequencies in the future.
穆勒矩阵偏振测量法(MMP)已被证明是一种有效的方法,可用于实现成像增强以及揭示成像样本的偏振特性。一般来说,要完整、准确地确定4×4穆勒矩阵(MM)并全面描述样本的偏振特性,至少需要16种仅涉及线性和圆偏振的强度测量组合。然而,由于太赫兹区域的设计和制造限制,宽带圆偏振(CP)很难获得,这给获取4×4 MM带来了挑战。在这种情况下,仅使用线性偏振(LP)的3×3 MM退化是表征非去偏振样本的首选且足够的方法。本文基于太赫兹时域光谱(THz-TDS)建立了一个从0.1到1太赫兹的多光谱3×3 MMP系统。所展示的系统能够准确确定3×3 MM。采用了与MM退化兼容的穆勒矩阵偏振分解(MMPD)来探究样本的精细细节和特性。通过信号后处理技术,在时域中检索MM元素,反映深度信息的时间维度有助于样本的三维重建。这项工作为未来在更高频率下对生物样本进行三维成像提供了一个原型。