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Reducing Artifacts in BF and HAADF-STEM Images of Pt/C Fuel Cells using MBIR-ARAR

Journal Article · · Microscopy and Microanalysis
 [1];  [1];  [1];  [1];  [1];  [1]
  1. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
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Electron tomography is a powerful tool for characterization of three-dimensional (3D) nanoscale materials and devices. Bright-field (BF) and high-angle annular dark-field (HAADF) scanning transmission electron microscopy (STEM) are two widely used imaging modes in electron tomography. These imaging modalities have proven to be useful for characterizing the structure of carbon-supported platinum (Pt/C) electrocatalysts used in fuel cells, which are an important class of clean energy conversion systems. BF and HAADF-STEM images are typically simultaneously acquired due to the complementary information they contain, as BF-STEM is more suitable for characterizing carbon due to its ability to detect lighter elements, while HAADF-STEM is more suitable for characterizing platinum due to its sensitivity to atomic number. However, the quality of BF- and HAADF-STEM images is often compromised by various artifacts, such as local blurring due to abrupt contrast changes as well as missing wedge artifacts which can severely impact the accuracy of the reconstructed 3D images. The traditional methods of reconstruction, such as Filtered Back-projection (FBP), Simultaneous Iterative Reconstruction Technique (SIRT), and Model-Based Iterative Reconstruction (MBIR), are often not suitable for removing these artifacts effectively. Here, to address this challenge, we present a novel approach called MBIR with Artifact Reduction and Adaptive Regularization (MBIR-ARAR).

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Laboratory Directed Research and Development (LDRD) Program
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1994698
Journal Information:
Microscopy and Microanalysis, Journal Name: Microscopy and Microanalysis Journal Issue: Supplement_1 Vol. 29; ISSN 1431-9276
Publisher:
Microscopy Society of America (MSA)Copyright Statement
Country of Publication:
United States
Language:
English

References (5)

3D Analysis of Fuel Cell Electrocatalyst Degradation on Alternate Carbon Supports journal August 2017
Simultaneous iterative reconstruction technique: Physical interpretation based on the generalized least squares solution journal January 1990
A general synthesis of single atom catalysts with controllable atomic and mesoporous structures journal August 2022
Algorithm-Driven Advances for Scientific CT Instruments: From model-based to deep learning-based approaches journal January 2022
Principles of Computerized Tomographic Imaging book January 2001

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25 ENERGY STORAGE