4.6 Article

ResNet-based image inpainting method for enhancing the imaging speed of single molecule localization microscopy

Related references

Note: Only part of the references are listed.
Article Biochemical Research Methods

Evaluation and development of deep neural networks for image super-resolution in optical microscopy

Chang Qiao et al.

Summary: This study investigates the performance of deep-learning models for super-resolution imaging, introducing models that utilize frequency content information in the Fourier domain to improve imaging under low-SNR conditions. The research shows that deep-learning models can robustly reconstruct SIM images under low signal-to-noise ratio conditions, achieving comparable image quality to SIM in multicolor live-cell imaging experiments.

NATURE METHODS (2021)

Review Computer Science, Artificial Intelligence

A comprehensive review of past and present image inpainting methods

Jireh Jam et al.

Summary: This paper provides a comprehensive review of image inpainting methods over the past decade and the commonly used performance metrics and datasets. It presents a hierarchical representation for traditional methods and deep learning methods, offering new insights in the field.

COMPUTER VISION AND IMAGE UNDERSTANDING (2021)

Article Biochemical Research Methods

Accelerating 3D single-molecule localization microscopy using blind sparse inpainting

Sunil Kumar Gaire et al.

Summary: The study aims to accelerate three-dimensional SMLM imaging by leveraging a computational approach to reconstruct high-density 3D images from low-density ones without compromising resolution, achieving superior reconstruction results and reducing the number of acquired frames.

JOURNAL OF BIOMEDICAL OPTICS (2021)

Article Engineering, Multidisciplinary

Phase-aberration compensation via deep learning in digital holographic microscopy

Shujun Ma et al.

Summary: A numerical method based on deep learning combined with DHM is proposed for phase-aberration compensation, achieving high precision in reconstructing topographical images. Experimental results confirm that the trained CNN can accurately segment the sample from the background area of the hologram, demonstrating the applicability and effectiveness of this method in off-axis DHM.

MEASUREMENT SCIENCE AND TECHNOLOGY (2021)

Article Optics

Quantitative phase imaging in digital holographic microscopy based on image inpainting using a two-stage generative adversarial network

Shujun Ma et al.

Summary: A method for compensating phase aberrations using a Generative Adversarial Network in digital holographic microscopy was proposed, achieving a precise phase mapping of system aberrations through deep learning algorithms. Experimental results confirm the feasibility and accuracy of the method in repairing holographic images.

OPTICS EXPRESS (2021)

Article Biochemical Research Methods

Accelerating multicolor spectroscopic single-molecule localization microscopy using deep learning

Sunil Kumar Gaire et al.

BIOMEDICAL OPTICS EXPRESS (2020)

Article Engineering, Multidisciplinary

Study on Optimal Generative Network for Synthesizing Brain Tumor-Segmented MR Images

Hyunhee Lee et al.

MATHEMATICAL PROBLEMS IN ENGINEERING (2020)

Article Biochemical Research Methods

Optimizing imaging speed and excitation intensity for single-molecule localization microscopy

Robin Diekmann et al.

NATURE METHODS (2020)

Article Radiology, Nuclear Medicine & Medical Imaging

MR image reconstruction using deep learning: evaluation of network structure and loss functions

Vahid Ghodrati et al.

QUANTITATIVE IMAGING IN MEDICINE AND SURGERY (2019)

Article Biotechnology & Applied Microbiology

Deep learning massively accelerates super-resolution localization microscopy

Wei Ouyang et al.

NATURE BIOTECHNOLOGY (2018)

Article Biochemical Research Methods

High-density three-dimensional localization microscopy across large volumes

Wesley R. Legant et al.

NATURE METHODS (2016)

Article Biochemical Research Methods

Video-rate nanoscopy using sCMOS camera-specific single-molecule localization algorithms

Fang Huang et al.

NATURE METHODS (2013)

Article Biochemical Research Methods

Bayesian localization microscopy reveals nanoscale podosome dynamics

Susan Cox et al.

NATURE METHODS (2012)

Letter Biochemical Research Methods

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

Seamus J. Holden et al.

NATURE METHODS (2011)

Article Biochemical Research Methods

Fast, three-dimensional super-resolution imaging of live cells

Sara A. Jones et al.

NATURE METHODS (2011)

Article Biochemical Research Methods

Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM)

Michael J. Rust et al.

NATURE METHODS (2006)

Article Multidisciplinary Sciences

Imaging intracellular fluorescent proteins at nanometer resolution

Eric Betzig et al.

SCIENCE (2006)