Space-based correction method for LED array misalignment in Fourier ptychographic microscopy

被引:9
作者
Zhu, Youqiang [1 ]
Sun, Minglu [1 ,2 ]
Wu, Peilin [1 ,2 ]
Mu, Quanquan [1 ,2 ]
Xuan, Li [1 ,2 ]
Li, Dayu [1 ]
Wang, Bin [1 ,2 ]
机构
[1] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun 130033, Peoples R China
[2] Univ Chinese Acad Sci, Ctr Mat Sci & Optoelect Engn, Beijing 100049, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Computational imaging; Fourier ptychographic microscopy; Misalignment; Particle swarm optimization; SHOT PHASE RETRIEVAL; HIGH-RESOLUTION; WIDE-FIELD; RECONSTRUCTION; ILLUMINATION;
D O I
10.1016/j.optcom.2022.128163
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Fourier ptychographic microscopy is a super-resolution technique, which could break through the Space-Band Product (SBP) limit of the system by employing varied-illumination and phase retrieval algorithm. A LED array is used to provide angularly varying illuminations, which is portable and cheap. However, the installation accuracy of the LED array is not sufficient, resulting in position misalignment errors. The misalignment errors not only cause the calculation error of the sub-apertures in the frequency domain, but also the artifacts in reconstruction images. Although some correction methods have been proposed, the correction ability of these methods cannot deal with the misalignment errors well. In this paper, we proposed a misalignment errors correction method. This method uses the Particle swarm optimization (PSO) algorithm to search the four misalignment parameters (delta x, delta y, theta, delta h) in space domain. It is termed as Space based correction (SBC) method. Compared with the state-of-art methods, the SBC method is more stable and accuracy.& nbsp;
引用
收藏
页数:7
相关论文
共 50 条
  • [41] Color Fourier ptychographic microscopy based on symmetrical illumination and wavelength multiplexing
    Zhang, Muyang
    Yang, Di
    Liang, Yanmei
    JOURNAL OF OPTICS, 2020, 22 (06)
  • [42] Digital micromirror device-based laser-illumination Fourier ptychographic microscopy
    Kuang, Cuifang
    Ma, Ye
    Zhou, Renjie
    Lee, Justin
    Barbastathis, George
    Dasari, Ramachandra R.
    Yaqoob, Zahid
    So, Peter T. C.
    OPTICS EXPRESS, 2015, 23 (21): : 26999 - 27010
  • [43] Self-learning based Fourier ptychographic microscopy
    Zhang, Yongbing
    Jiang, Weixin
    Tian, Lei
    Waller, Laura
    Dai, Qionghai
    OPTICS EXPRESS, 2015, 23 (14): : 18471 - 18486
  • [44] Sharpness-statistic based autofocus algorithm for Fourier ptychographic microscopy
    Zhang, Shu-Yuan
    Ni, Ying-Hui
    Deng, Wei-Jie
    Sun, Ming-Jie
    OPTICS AND LASER TECHNOLOGY, 2025, 188
  • [45] A Virtual Staining Method Based on Self-Supervised GAN for Fourier Ptychographic Microscopy Colorful Imaging
    Wang, Yan
    Guan, Nan
    Li, Jie
    Wang, Xiaoli
    APPLIED SCIENCES-BASEL, 2024, 14 (04):
  • [46] A method of vision localization measurement to assist Fourier ptychographic microscopy
    Liu, Xiaoli
    Li, Cheng
    Tang, Qijian
    Peng, Xiang
    SIXTH INTERNATIONAL CONFERENCE ON OPTICAL AND PHOTONIC ENGINEERING (ICOPEN 2018), 2018, 10827
  • [47] Background-noise Reduction for Fourier Ptychographic Microscopy Based on an Improved Thresholding Method
    Hou, Lexin
    Wang, Hexin
    Wang, Junhua
    Xu, Min
    CURRENT OPTICS AND PHOTONICS, 2018, 2 (02) : 165 - 171
  • [48] High-speed Fourier ptychographic microscopy based on programmable annular illuminations
    Sun, Jiasong
    Zuo, Chao
    Zhang, Jialin
    Fan, Yao
    Chen, Qian
    SCIENTIFIC REPORTS, 2018, 8
  • [49] Fourier ptychographic microscopy with multi-height illumination based on energy threshold pre-search
    Cheng, Hong
    Liu, Qihong
    Chen, Yu
    Ju, Hanpin
    Shen, Chuan
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2024, 41 (10) : 1835 - 1845
  • [50] Fourier Ptychographic Microscopy with Optical Aberration Correction and Phase Unwrapping Based on Semi-Supervised Learning
    Zhou, Xuhui
    Tong, Haiping
    Ouyang, Er
    Zhao, Lin
    Fang, Hui
    APPLIED SCIENCES-BASEL, 2025, 15 (01):