ContransGAN: Convolutional Neural Network Coupling Global Swin-Transformer Network for High-Resolution Quantitative Phase Imaging with Unpaired Data

ContransGAN: Convolutional Neural Network Coupling Global Swin-Transformer Network for High-Resolution Quantitative Phase Imaging with Unpaired Data

Optical quantitative phase imaging (QPI) is a frequently used technique to recover biological cells with high contrast in biology and life science for cell detection and analysis. However, the quantitative phase information is difficult to directly obtain with traditional optical microscopy. In addi...

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Bibliographic Details
Main Authors: Hao Ding, Fajing Li, Xiang Chen, Jun Ma, Shouping Nie, Ran Ye, Caojin Yuan
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Cells
Subjects:
super-resolution
transformer
CNN
quantitative phase imaging
transport of intensity equation
Online Access:https://www.mdpi.com/2073-4409/11/15/2394

Internet

https://www.mdpi.com/2073-4409/11/15/2394

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