1
|
Dorfi AE, Yan J, Wright J, Esposito DV. Compressed Sensing Image Reconstruction of Scanning Electrochemical Microscopy Measurements Carried Out at Ultrahigh Scan Speeds Using Continuous Line Probes. Anal Chem 2021; 93:12574-12581. [PMID: 34496203 DOI: 10.1021/acs.analchem.1c01869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Previous studies on scanning electrochemical microscopy (SECM) imaging with nonlocal continuous line probes (CLPs) have demonstrated the ability to increase areal imaging rates by an order of magnitude compared to SECM based on conventional ultramicroelectrode (UME) disk electrodes. Increasing the linear scan speed of the CLP during imaging presents an opportunity to increase imaging rates even further but results in a significant deterioration in image quality due to transport processes in the liquid electrolyte. Here, we show that compressed sensing (CS) postprocessing can be successfully applied to CLP-based SECM measurements to reconstruct images with minimal distortion at probe scan rates greatly exceeding the conventional SECM ″speed limit″. By systematically evaluating the image quality of images generated by adaptable postprocessing CS methods for CLP-SECM data collected at varying scan rates, this work establishes a new upper bound for CLP scan rates. While conventional SECM imaging typically uses probe scan speeds characterized by Péclet numbers (Pe) < 1, this study shows that CS postprocessing methods can allow for an accurate image reconstruction for Pe approaching 5, corresponding to an order of magnitude increase in the maximum probe scan speed. This upper limit corresponds to the onset of chaotic convective flows within the electrolyte for the probes investigated in this work, highlighting the importance of considering hydrodynamics in the design of fast-scanning probes.
Collapse
Affiliation(s)
- Anna E Dorfi
- Department of Chemical Engineering, Columbia University in the City of New York, 500 W. 120th St., New York, New York 10027, United States
| | - Jingkai Yan
- Department of Electrical Engineering, Columbia University in the City of New York, 500 W. 120th St., New York, New York 10027, United States.,Data Science Institute, Columbia University in the City of New York, Northwest Corner, 550 W 120th St. #1401, New York, New York 10027, United States
| | - John Wright
- Department of Chemical Engineering, Columbia University in the City of New York, 500 W. 120th St., New York, New York 10027, United States.,Data Science Institute, Columbia University in the City of New York, Northwest Corner, 550 W 120th St. #1401, New York, New York 10027, United States
| | - Daniel V Esposito
- Department of Chemical Engineering, Columbia University in the City of New York, 500 W. 120th St., New York, New York 10027, United States.,Columbia Electrochemical Energy Center, Columbia University in the City of New York, 500 W. 120th St., New York, New York 10027, United States.,Lenfest Center for Sustainable Energy, Columbia University in the City of New York, 500 W. 120th St., New York, New York 10027, United States
| |
Collapse
|