Image reconstruction with a deep convolutional neural network in high-density super-resolution microscopy

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

(2018) Daniel S. Kermany et al.   CELL

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

Efficient image reconstruction of high-density molecules with augmented Lagrangian method in super-resolution microscopy

(2018) Jia Li et al.   OPTICS EXPRESS

Content-aware image restoration: pushing the limits of fluorescence microscopy

(2018) Martin Weigert et al.   NATURE METHODS

Deep Convolutional Neural Network for Inverse Problems in Imaging

(2017) Kyong Hwan Jin et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

(2017) Kai Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Deep learning microscopy

(2017) Yair Rivenson et al.   Optica

Multiple signal classification algorithm for super-resolution fluorescence microscopy

(2016) Krishna Agarwal et al.   Nature Communications

Deep learning

(2015) Yann LeCun et al.   NATURE

Quantitative evaluation of software packages for single-molecule localization microscopy

(2015) Daniel Sage et al.   NATURE METHODS

ThunderSTORM: a comprehensive ImageJ plug-in for PALM and STORM data analysis and super-resolution imaging

(2014) Martin Ovesný et al.   BIOINFORMATICS

FALCON: fast and unbiased reconstruction of high-density super-resolution microscopy data

(2014) Junhong Min et al.   Scientific Reports

Faster STORM using compressed sensing

(2012) Lei Zhu et al.   NATURE METHODS

DAOSTORM: an algorithm for high- density super-resolution microscopy

(2011) Seamus J Holden et al.   NATURE METHODS