Computer simulation and modeling of glow discharge optical emission coded aperture elemental mapping.

Area of Science:

• Materials Science
• Spectroscopy
• Nanotechnology

Background:

• Elemental mapping (EM) is crucial for analyzing solid samples across disciplines.
• Existing EM techniques, including Glow discharge optical emission spectroscopy (GDOES) coupled with hyperspectral imaging (HSI), are limited by long acquisition times and sample consumption.
• Faster HSI is needed to enable high-throughput GDOES for nanoscale materials analysis.

Purpose of the Study:

• To develop a novel, rapid elemental mapping technique for solid samples.
• To address the limitations of slow acquisition times and resolution loss in current EM methods, particularly for nanomaterials.

Main Methods:

• Introduction of Glow discharge Optical emission Coded Aperture elemental Mapping (GOCAM), a technique utilizing compressive coded aperture spectral imaging.
• Computer model simulations to optimize coded aperture parameters (element size, transmittance) for data fidelity.
• Evaluation and comparison of compressed sensing reconstruction algorithms, with SeSCI_GPU showing superior performance.

Main Results:

• Simulations indicate optimal data fidelity with smaller mask element sizes and 60% transmittance.
• SeSCI_GPU outperformed other tested reconstruction algorithms (TwIST, GAP-TV, SeSCI_CPU, ADMM-TV) in fidelity.
• The study demonstrates the feasibility of GOCAM for single-exposure multi-elemental mapping.

Conclusions:

• GOCAM is a feasible technique for rapid elemental mapping.
• The developed method provides a foundation for future hardware development.
• GOCAM has the potential to revolutionize nanostructured materials characterization by enabling sub-second multi-elemental mapping.