High-throughput single pixel spectral imaging system for glow discharge optical emission spectrometry elemental mapping enabled by compressed sensing
High-throughput single pixel spectral imaging system for glow discharge optical emission spectrometry elemental mapping enabled by compressed sensing
复制标题
高通量单像素光谱成像系统，用于通过压缩传感实现辉光放电发射光谱测定元素映射
DOI：
10.1039/d2ja00021k
复制
发表时间：
2022
影响因子：
3.4
通讯作者：
Finch, Kevin
中科院分区：
文献类型：
--
作者：
Gamez, Gerardo;She, Yue;Rivera, Paola;Shi, Songyue;Finch, Kevin
辉光放电光学发射光谱元素映射（GDOES EM），使光谱成像策略，是一种有利的技术，直接多元素分析的固体样品在快速的时间框架。在这里，一个单像素，或点扫描，光谱成像系统的基础上压缩传感图像采样，开发和优化矩阵密度，压缩因子，稀疏化的基础上，和重建算法耦合GDOES EM。结果表明，在压缩因子为30%的512矩阵密度提供了最高的空间保真度的峰值信噪比（PSNR）和复杂的小波结构相似性指数的措施（CW-SSIM），同时保持快速的测量时间。采用离散小波变换（DWT）稀疏基和两步迭代收缩/保偏线性反问题（TwIST）重建算法，提高了CuI在510.5 nm处的背景等效浓度（BEC）。利用这些最佳条件，GDOES EM的柔性，蚀刻铜电路板，然后成功地证明了与压缩传感单像素光谱成像系统（CSSPIS）。新开发的CSSPIS允许利用点扫描方法的显着成本效益（>10×与增强阵列检测器系统），同时克服（高达几个数量级）其固有的和实质性的吞吐量限制。最终，它有可能被实施在现成的商业GDOES仪器通过调整收集光学。
Glow discharge optical emission spectroscopy elemental mapping (GDOES EM), enabled by spectral imaging strategies, is an advantageous technique for direct multi-elemental analysis of solid samples in rapid timeframes. Here, a single-pixel, or point scan, spectral imaging system based on compressed sensing image sampling, is developed and optimized in terms of matrix density, compression factor, sparsifying basis, and reconstruction algorithm for coupling with GDOES EM. It is shown that a 512 matrix density at a compression factor of 30% provides the highest spatial fidelity in terms of the peak signal-to-noise ratio (PSNR) and complex wavelet structural similarity index measure (cw-SSIM) while maintaining fast measurement times. The background equivalent concentration (BEC) of Cu I at 510.5 nm is improved when implementing the discrete wavelet transform (DWT) sparsifying basis and Two-step Iterative Shrinking/Thresholding Algorithm for Linear Inverse Problems (TwIST) reconstruction algorithm. Utilizing these optimum conditions, a GDOES EM of a flexible, etched-copper circuit board was then successfully demonstrated with the compressed sensing single-pixel spectral imaging system (CSSPIS). The newly developed CSSPIS allows taking advantage of the significant cost-efficiency of point-scanning approaches (>10× vs. intensified array detector systems), while overcoming (up to several orders of magnitude) their inherent and substantial throughput limitations. Ultimately, it has the potential to be implemented on readily available commercial GDOES instruments by adapting the collection optics.