Fourier ptychography multi-parameunter neural network with composite physical priori optimization

Fourier ptychography multi-parameunter neural network with composite physical priori optimization

Fourier ptychography microscopy(FPM) is a recently developed computational imaging approach for microscopic super-resolution imaging. By turning on each light-emitting-diode (LED) located on different position on the LED array sequentially and acquiring the corresponding images that contain differen...

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Bibliographic Details
Main Authors: Cao, L. (Author), Hao, Q. (Author), Hu, Y. (Author), Yang, D. (Author), Zhang, S. (Author), Zheng, C. (Author), Zhou, G. (Author)
Format: Article
Language:English
Published: Optica Publishing Group (formerly OSA) 2022
Subjects:
Article
artificial neural network
Computational imaging
Computational Imaging
controlled study
Data acquisition
feasibility study
Fourier
Fourier analysis
fourier ptychography microscopy
Fourier transform infrared spectroscopy
Fourier transforms
Frequency components
illumination
Light emitting diodes
Lightemitting diode
Lightemitting diode(LED) array
mathematical model
microscopy
modulation
multilayer perceptron
Multiparameters
Network layers
Neural networks
Neural-networks
nonhuman
Optimisations
physical model
physical parameters
process optimization
pupil
Recovery
simulation
Spatial frequency
spatial frequency discrimination
spectrum
Super resolution imaging
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