High-Throughput Single Pixel Spectral Imaging System For Glow Discharge Optical Emission Spectrometry Elemental Mapping Enabled by Compressed Sensing

Gerardo Gamez Goytia, Yue She, Paola Rivera, Songyue Shi, Kevin Finch

Research output: Contribution to journalArticlepeer-review

Abstract

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 a
Original languageEnglish
Pages (from-to)805 - 813
JournalJournal of Analytical Atomic Spectrometry
DOIs
StatePublished - Feb 2022

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