Deep learning–enhanced fluorescence microscopy via degeneration decoupling
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Deep learning–enhanced fluorescence microscopy via degeneration decoupling
Authors
Keywords
-
Journal
OPTICS EXPRESS
Volume 28, Issue 10, Pages 14859
Publisher
The Optical Society
Online
2020-04-15
DOI
10.1364/oe.390121
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- DLBI: deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy
- (2018) Yu Li et al. BIOINFORMATICS
- PURE-LET Image Deconvolution
- (2018) Jizhou Li et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Fast, long-term, super-resolution imaging with Hessian structured illumination microscopy
- (2018) Xiaoshuai Huang et al. NATURE BIOTECHNOLOGY
- Deep learning massively accelerates super-resolution localization microscopy
- (2018) Wei Ouyang et al. NATURE BIOTECHNOLOGY
- Deep-STORM: super-resolution single-molecule microscopy by deep learning
- (2018) Elias Nehme et al. Optica
- Image Regularizations Based on the Sparsity of Corner Points
- (2018) Haosen Liu et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Content-aware image restoration: pushing the limits of fluorescence microscopy
- (2018) Martin Weigert et al. NATURE METHODS
- Deep learning enables cross-modality super-resolution in fluorescence microscopy
- (2018) Hongda Wang et al. NATURE METHODS
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
- (2017) Kai Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- DeconvolutionLab2: An open-source software for deconvolution microscopy
- (2017) Daniel Sage et al. METHODS
- Deep learning microscopy
- (2017) Yair Rivenson et al. Optica
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Iterative CBCT reconstruction using Hessian penalty
- (2015) Tao Sun et al. PHYSICS IN MEDICINE AND BIOLOGY
- Fluorogenic probes for live-cell imaging of the cytoskeleton
- (2014) Gražvydas Lukinavičius et al. NATURE METHODS
- Bending the Rules: Widefield Microscopy and the Abbe Limit of Resolution
- (2013) Jolien S. Verdaasdonk et al. JOURNAL OF CELLULAR PHYSIOLOGY
- High-resolution restoration of 3D structures from widefield images with extreme low signal-to-noise-ratio
- (2013) M. Arigovindan et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Hessian-Based Norm Regularization for Image Restoration With Biomedical Applications
- (2011) S. Lefkimmiatis et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started