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Quantitative Analysis of Mesoporous Structures by Electron Tomography: A Phantom Study

Huang, Xiaohui 1,2; Wang, Di ORCID iD icon 1,2; Kübel, Christian ORCID iD icon 1,2; Hlushkou, Dzmitry; Tallarek, Ulrich
1 Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT)
2 Karlsruhe Nano Micro Facility (KNMF), Karlsruher Institut für Technologie (KIT)

Abstract:

Electron tomography (ET) has attracted significant attention for a quantitative analysis of mesoporous materials, especially for complex disordered pore structures, as no priori assumptions on the pore shape is needed, which is normally inevitable when using traditional bulk characterization techniques. However, a reliable quantification of such pore structure from ET highly depends on the fidelity of segmented reconstruction, which can be significantly affected, e.g. by the raw data quality, the limited tilting range, artifacts introduced during alignment and further depends the reconstruction algorithm. Therefore, we systematically investigate the reconstruction reliability of three main-stream algorithms including simultaneous iterative reconstruction technique (SIRT), total variation minimization (TVM) and discrete algebraic reconstruction technique (DART) for mesoporous materials using different imperfect (realistic) tilt-series based on a set of phantom simulations. We found that DART outperforms the other two methods in reliably revealing small pores and narrow channels, especially when the number of projections is strongly constrained. ... mehr


Zugehörige Institution(en) am KIT Institut für Nanotechnologie (INT)
Karlsruhe Nano Micro Facility (KNMF)
Publikationstyp Forschungsdaten
Publikationsdatum 29.04.2022
Erstellungsdatum 01.01.2021 - 31.03.2022
Identifikator DOI: 10.5445/IR/1000144395
KITopen-ID: 1000144395
HGF-Programm 43.35.04 (POF IV, LK 01) Correlative Data Science
Lizenz Creative Commons Namensnennung – Nicht kommerziell – Weitergabe unter gleichen Bedingungen 4.0 International
Schlagwörter Mesoporous Materials, Electron Tomography, Reconstruction, Segmentation, Quantification, Diffusion Simulation
Liesmich

Original raw data and analysis of 2D and 3D reconstruction based on phantoms. Detailed descriptions of the file types and the data are stored in a separate description.txt file.

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