TY - JOUR
T1 - Compressed sensing spectral imaging for plasma optical emission spectroscopy
AU - Usala, John D.
AU - Maag, Adrian
AU - Nelis, Thomas
AU - Gamez, Gerardo
N1 - Funding Information:
This material is based upon work supported by the National Science Foundation under CHE - 1610849. J. Usala would like to acknowledge funding from the Texas Tech University Center for Active Learning and Undergraduate Engagement, as well as the Texas Tech University Center for the Integration of STEM Education and Research. A. Maag would like to acknowledge funding from Bern University of Applied Sciences International Relations Office. The authors would like to thank S. Shi for help with construction of the APPJ source.
Publisher Copyright:
© The Royal Society of Chemistry 2016.
PY - 2016/11
Y1 - 2016/11
N2 - Plasma optical emission spectral imaging is critical for the development of chemical analysis applications and plasma diagnostics. Nevertheless, typical techniques require array detectors that can be very expensive or pixel-to-pixel rastering approaches that are highly time-consuming. Further, the acquired image files are compressed to keep data manageable, which can be achieved without loss of critical information, thus showing the sparsity of the data. A fairly recent paradigm in sampling, compressed sensing (CS), allows performing compression during acquisition which results in a more efficient use of experimental resources. As such, CS systems can be much faster, cost-effective, or even provide better resolution or throughput. In this study, a CS spectral imaging system, featuring a single-sensor and a variable encoding mask, is designed and implemented for plasma optical emission spectroscopy. The performance, based on PSNR and spatial resolution, is characterized as a function of experimental and image processing parameters such as sensing matrix selection, recovery algorithm choice, and sparsifying basis. Spectral images of optical emissions from plasma species of interest (He I, N2, N2+) were collected from an atmospheric pressure plasma jet. The use of a CS spectral imaging system for plasma diagnostics (Tvib) is reported for the first time.
AB - Plasma optical emission spectral imaging is critical for the development of chemical analysis applications and plasma diagnostics. Nevertheless, typical techniques require array detectors that can be very expensive or pixel-to-pixel rastering approaches that are highly time-consuming. Further, the acquired image files are compressed to keep data manageable, which can be achieved without loss of critical information, thus showing the sparsity of the data. A fairly recent paradigm in sampling, compressed sensing (CS), allows performing compression during acquisition which results in a more efficient use of experimental resources. As such, CS systems can be much faster, cost-effective, or even provide better resolution or throughput. In this study, a CS spectral imaging system, featuring a single-sensor and a variable encoding mask, is designed and implemented for plasma optical emission spectroscopy. The performance, based on PSNR and spatial resolution, is characterized as a function of experimental and image processing parameters such as sensing matrix selection, recovery algorithm choice, and sparsifying basis. Spectral images of optical emissions from plasma species of interest (He I, N2, N2+) were collected from an atmospheric pressure plasma jet. The use of a CS spectral imaging system for plasma diagnostics (Tvib) is reported for the first time.
UR - http://www.scopus.com/inward/record.url?scp=84994049792&partnerID=8YFLogxK
U2 - 10.1039/c6ja00261g
DO - 10.1039/c6ja00261g
M3 - Article
AN - SCOPUS:84994049792
VL - 31
SP - 2198
EP - 2206
JO - Journal of Analytical Atomic Spectrometry
JF - Journal of Analytical Atomic Spectrometry
SN - 0267-9477
IS - 11
ER -