Neural network model combined with pupil recovery for Fourier ptychographic microscopy

doi:10.1364/oe.27.024161

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	Neural network model combined with pupil recovery for Fourier ptychographic microscopy
	M.L.Sun; X.Chen; Y.Q.Zhu; D.Y.Li; Q.Q.Mu; L.Xuan
刊名	Optics Express
	2019
卷号	27 期号:17 页码:24161-24174
关键词	misalignment correction,wide-field,illumination,Optics
ISSN号	1094-4087
DOI	10.1364/oe.27.024161
英文摘要	Fourier ptychographic microscopy (FPM) is a recently developed imaging approach aiming at circumventing the limitation of the space-bandwidth product (SBP) and acquiring a complex image with both wide field and high resolution. So far, in many algorithms that have been proposed to solve the FPM reconstruction problem, the pupil function is set to be a fixed value such as the coherent transfer function (CTF) of the system. However, the pupil aberration of the optical components in an FPM imaging system can significantly degrade the quality of the reconstruction results. In this paper, we build a trainable network (FINN-P) which combines the pupil recovery with the forward imaging process of FPM based on TensorFlow. Both the spectrum of the sample and pupil function are treated as the two-dimensional (2D) learnable weights of layers. Therefore, the complex object information and pupil function can be obtained simultaneously by minimizing the loss function in the training process. Simulated datasets are used to verify the effectiveness of pupil recovery, and experiments on the open source measured dataset demonstrate that our method can achieve better reconstruction results even in the presence of a large aberration. In addition, the recovered pupil function can be used as a good estimate before further analysis of the system optical transmission capability. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
语种	英语
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/63057]
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	M.L.Sun,X.Chen,Y.Q.Zhu,et al. Neural network model combined with pupil recovery for Fourier ptychographic microscopy[J]. Optics Express,2019,27(17):24161-24174.
APA	M.L.Sun,X.Chen,Y.Q.Zhu,D.Y.Li,Q.Q.Mu,&L.Xuan.(2019).Neural network model combined with pupil recovery for Fourier ptychographic microscopy.Optics Express,27(17),24161-24174.
MLA	M.L.Sun,et al."Neural network model combined with pupil recovery for Fourier ptychographic microscopy".Optics Express 27.17(2019):24161-24174.