Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown View Tomography-Reference-Cited by-同舟云学术

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Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown View Tomography

Published:2023-08-08 Issue:3 Volume:16 Page:1398-1439
ISSN:1936-4954
Container-title:SIAM Journal on Imaging Sciences
language:en
Short-container-title:SIAM J. Imaging Sci.

Author:

Huang Shuai¹^ORCID,Zehni Mona²,Dokmanić Ivan³,Zhao Zhizhen²

Affiliation:

1. Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA 30329 USA.

2. Coordinate Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA.

3. Department of Mathematics and Computer Science, University of Basel, 4001 Basel, Switzerland.

Funder

Alfred P. Sloan Foundation

H2020 European Research Council

Office of Advanced Cyberinfrastructure

National Science Foundation

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,General Mathematics

Reference36 articles.

1. New tools for the analysis and validation of cryo-EM maps and atomic models

2. Spherical Harmonics and Approximations on the Unit Sphere: An Introduction

3. Estimation under group actions: Recovering orbits from invariants

4. Aliasing error of the exp⁡(β1−z2) kernel in the nonuniform fast Fourier transform

5. A Parallel Nonuniform Fast Fourier Transform Library Based on an “Exponential of Semicircle" Kernel

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1. The Sample Complexity of Sparse Multireference Alignment and Single-Particle Cryo-Electron Microscopy;SIAM Journal on Mathematics of Data Science;2024-04-04

2. Moment-based metrics for molecules computable from cryogenic electron microscopy images;Biological Imaging;2024

3. Autocorrelation analysis for cryo-EM with sparsity constraints: Improved sample complexity and projection-based algorithms;Proceedings of the National Academy of Sciences;2023-04-24

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