Model-based iterative reconstruction with adaptive regularization for artifact reduction in electron tomography

Model-based iterative reconstruction with adaptive regularization for artifact reduction in electron tomography

Abstract Obtaining high-quality 3D reconstructions from electron tomography of crystalline particles embedded in lighter support elements is crucial for various material systems such as catalysts for fuel cell applications. However, significant challenges arise due to the limited tilt range, sparse...

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Bibliographic Details
Main Authors: Singanallur Venkatakrishnan, Obaidullah Rahman, Lynda Amichi, Jose D. Arregui-Mena, Haoran Yu, David A. Cullen, Amirkoushyar Ziabari
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Electron tomography
Diffraction
Model-based reconstruction
Artifact reduction
Online Access:https://doi.org/10.1038/s41598-025-86639-y

Internet

https://doi.org/10.1038/s41598-025-86639-y

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