Gradient-based and wavelet-based compressed sensing approaches for highly undersampled tomographic datasets-Reference-Cited by-同舟云学术

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Gradient-based and wavelet-based compressed sensing approaches for highly undersampled tomographic datasets

Published:2021-06 Issue: Volume:225 Page:113289
ISSN:0304-3991
Container-title:Ultramicroscopy
language:en
Short-container-title:Ultramicroscopy

Author:

Jacob Martin,Gueddari Loubna El,Lin Jyh-Miin,Navarro Gabriele,Jannaud Audrey,Mula Guido,Bayle-Guillemaud Pascale,Ciuciu Philippe,Saghi Zineb

Publisher

Elsevier BV

Subject

Instrumentation,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference63 articles.

1. Electron Tomography in the (S)TEM: From Nanoscale Morphological Analysis to 3D Atomic Imaging;Saghi;Annu. Rev. Mater. Res.,2012

2. HAADF-STEM Electron Tomography in Catalysis Research;Hungría;Top. Catal.,2019

3. Electron Tomography in Materials Science;Leary,2019

4. A novel 3D absorption correction method for quantitative EDX-STEM tomography;Burdet;Ultramicroscopy,2016

5. Analytical electron tomography;Leary;MRS Bull,2016

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2. Compressed sensing for electron cryotomography and high-resolution subtomogram averaging of biological specimens;Structure;2022-03

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