Related references
Note: Only part of the references are listed.Evaluation and development of deep neural networks for image super-resolution in optical microscopy
Chang Qiao et al.
NATURE METHODS (2021)
A comprehensive review of past and present image inpainting methods
Jireh Jam et al.
COMPUTER VISION AND IMAGE UNDERSTANDING (2021)
Accelerating 3D single-molecule localization microscopy using blind sparse inpainting
Sunil Kumar Gaire et al.
JOURNAL OF BIOMEDICAL OPTICS (2021)
Phase-aberration compensation via deep learning in digital holographic microscopy
Shujun Ma et al.
MEASUREMENT SCIENCE AND TECHNOLOGY (2021)
Quantitative phase imaging in digital holographic microscopy based on image inpainting using a two-stage generative adversarial network
Shujun Ma et al.
OPTICS EXPRESS (2021)
Accelerating multicolor spectroscopic single-molecule localization microscopy using deep learning
Sunil Kumar Gaire et al.
BIOMEDICAL OPTICS EXPRESS (2020)
Study on Optimal Generative Network for Synthesizing Brain Tumor-Segmented MR Images
Hyunhee Lee et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2020)
Super-resolution localization microscopy: Toward high throughput, high quality, and low cost
Hongqiang Ma et al.
APL PHOTONICS (2020)
Optimizing imaging speed and excitation intensity for single-molecule localization microscopy
Robin Diekmann et al.
NATURE METHODS (2020)
Three dimensional drift control at nano-scale in single molecule localization microscopy
Xiaoming Fan et al.
OPTICS EXPRESS (2020)
MR image reconstruction using deep learning: evaluation of network structure and loss functions
Vahid Ghodrati et al.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY (2019)
Deep learning massively accelerates super-resolution localization microscopy
Wei Ouyang et al.
NATURE BIOTECHNOLOGY (2018)
Deep-STORM: super-resolution single-molecule microscopy by deep learning
Elias Nehme et al.
OPTICA (2018)
Blind sparse inpainting reveals cytoskeletal filaments with sub-Nyquist localization
Yanhua Wang et al.
OPTICA (2017)
High-density three-dimensional localization microscopy across large volumes
Wesley R. Legant et al.
NATURE METHODS (2016)
Video-rate nanoscopy using sCMOS camera-specific single-molecule localization algorithms
Fang Huang et al.
NATURE METHODS (2013)
Bayesian localization microscopy reveals nanoscale podosome dynamics
Susan Cox et al.
NATURE METHODS (2012)
DAOSTORM: an algorithm for high-density super-resolution microscopy
Seamus J. Holden et al.
NATURE METHODS (2011)
Fast, three-dimensional super-resolution imaging of live cells
Sara A. Jones et al.
NATURE METHODS (2011)
Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM)
Michael J. Rust et al.
NATURE METHODS (2006)
Imaging intracellular fluorescent proteins at nanometer resolution
Eric Betzig et al.
SCIENCE (2006)