Neural network model assisted Fourier ptychography with Zernike aberration recovery and total variation constraint

Significance: Fourier ptychography (FP) is a computational imaging approach that achieves high-resolution reconstruction. Inspired by neural networks, many deep-learning-based methods are proposed to solve FP problems. However, the performance of FP still suffers from optical aberration, which needs...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Yongbing, Liu, Yangzhe, Jiang, Shaowei, Dixit, Krishna, Song, Pengming, Zhang, Xinfeng, Ji, Xiangyang, Li, Xiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2021
Materias:
Microscopy
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8330837/
https://www.ncbi.nlm.nih.gov/pubmed/33768741
http://dx.doi.org/10.1117/1.JBO.26.3.036502

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8330837/
https://www.ncbi.nlm.nih.gov/pubmed/33768741
http://dx.doi.org/10.1117/1.JBO.26.3.036502

Ejemplares similares