Changchun Institute of Optics,Fine Mechanics and Physics,CAS
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 | |
2019 | |
发表期刊 | Optics Express
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ISSN | 1094-4087 |
卷号 | 27期号:17页码:24161-24174 |
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 |
关键词 | misalignment correction,wide-field,illumination,Optics |
DOI | 10.1364/oe.27.024161 |
收录类别 | SCI ; EI |
语种 | 英语 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | 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. |
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