SPARCOM: Sparsity Based Super-resolution Correlation Microscopy-Reference-Cited by-同舟云学术

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SPARCOM: Sparsity Based Super-resolution Correlation Microscopy

Published:2019-01 Issue:1 Volume:12 Page:392-419
ISSN:1936-4954
Container-title:SIAM Journal on Imaging Sciences
language:en
Short-container-title:SIAM J. Imaging Sci.

Author:

Solomon Oren,Eldar Yonina C.,Mutzafi Maor,Segev Mordechai

Funder

Horizon 2020 Framework Programme

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,General Mathematics

Link

https://epubs.siam.org/doi/pdf/10.1137/18M1174921

Reference27 articles.

1. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

2. Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems

3. Robust recovery of stream of pulses using convex optimization

4. Imaging Intracellular Fluorescent Proteins at Nanometer Resolution

5. An Introduction To Compressive Sampling

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2. Physics-Inspired Generative Adversarial Modelling for Fluctuation-Based Super-Resolution Microscopy;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

3. Sparse Arrays in Sample Starved Regimes: Algorithms and Performance Analysis;Sparse Arrays for Radar, Sonar, and Communications;2023-12-15

4. An Operator Theory for Analyzing the Resolution of Multi-illumination Imaging Modalities;SIAM Journal on Imaging Sciences;2023-11-15

5. Roadmap on Label‐Free Super‐Resolution Imaging;Laser & Photonics Reviews;2023-10-30

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