.png){kind=icon}
返回
Deep-Learning-Based Virtual Refocusing of Images Using an Engineered Point-Spread Function
.png){kind=icon}
OA
AI
DOI：10.1021/acsphotonics.1c00660.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We present a virtual refocusing method over an extended depth of field (DOF) enabled by cascaded neural networks and a double-helix point-spread function (DH-PSF). This network model, referred to as W-Net, is composed of two cascaded generator and discriminator network pairs. The first generator network learns to virtually refocus an input image onto a user-defined plane, while the second generator learns to perform a cross-modality image transformation, improving the lateral resolution of the output image. Using this W-Net model with DH-PSF engineering, we experimentally extended the DOF of a fluorescence microscope by similar to 20-fold. In addition to DH-PSF, we also report the application of this method to another spatially engineered imaging system that uses a tetrapod point-spread function. This approach can be widely used to develop deep-learning-enabled reconstruction methods for localization microscopy techniques that utilize engineered PSFs to considerably improve their imaging performance, including the spatial resolution and volumetric imaging throughput.
Keyword:
deep learning
super-resolution
extended depth of field
point-spread-function engineering
cascaded neural networks
computational microscopy
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.7
论文数:
5.6K
被引数:
2.5W
机构
引用论文
Model estimates of CO2 emissions from soil in response to global warming响应全球变暖的土壤CO2排放模型估计.png)
Nature
NatureIF0
PREAI
分享收藏Three-dimensional sub-100 nm resolution fluorescence microscopy of thick samplesNATURE METHODS
NATURE METHODSIF32.1
PREAI
分享收藏Single-Shot Autofocusing of Microscopy Images Using Deep Learning使用深度学习对显微镜图像进行单次自动聚焦ACS PHOTONICS
OAAI
ACS PHOTONICSIF6.7
OAAI分享收藏Deep-Learning-Based Image Reconstruction and Enhancement in Optical Microscopy基于深度学习的光学显微镜图像重建与增强PROCEEDINGS OF THE IEEEOAAI
PROCEEDINGS OF THE IEEEIF25.9
OAAI分享收藏Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM)通过随机光学重建显微镜 (STORM) 进行亚衍射极限成像NATURE METHODSOAAI
NATURE METHODSIF32.1
OAAI分享收藏
查看更多内容