A three-dimensional point spread function for phase retrieval and deconvolution

被引：16
|
作者：
Liu, Xinyue [1 ]
Wang, Liang [1 ,2 ]
Wang, Jianli [1 ]
Meng, Haoran [1 ]
机构：
[1] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun 130033, Peoples R China
[2] Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China
来源：
OPTICS EXPRESS | 2012年 / 20卷 / 14期
关键词：
NIJBOER-ZERNIKE APPROACH; ALGORITHMS; DIVERSITY; COMPUTATION; SYSTEMS;
D O I：
10.1364/OE.20.015392
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
We present a formulation of optical point spread function based on a scaled three-dimensional Fourier transform expression of focal field distribution and the expansion of generalized aperture function. It provides an equivalent but more flexible representation compared with the analytic expression of the extended Nijboer-Zernike approach. A phase diversity algorithm combined with an appropriate regularization strategy is derived and analyzed to demonstrate the effectiveness of the presented formulation for phase retrieval and deconvolution. Experimental results validate the performance of presented algorithm. (C) 2012 Optical Society of America
引用
收藏
页码：15392 / 15405
页数：14
相关论文
共 50 条
  • [1] Three-dimensional nanoscopy of whole cells and tissues with in situ point spread function retrieval
    Xu, Fan
    Ma, Donghan
    MacPherson, Kathryn P.
    Liu, Sheng
    Bu, Ye
    Wang, Yu
    Tang, Yu
    Bi, Cheng
    Kwok, Tim
    Chubykin, Alexander A.
    Yin, Peng
    Calve, Sarah
    Landreth, Gary E.
    Huang, Fang
    [J]. NATURE METHODS, 2020, 17 (05) : 531 - +
  • [2] Three-dimensional nanoscopy of whole cells and tissues with in situ point spread function retrieval
    Fan Xu
    Donghan Ma
    Kathryn P. MacPherson
    Sheng Liu
    Ye Bu
    Yu Wang
    Yu Tang
    Cheng Bi
    Tim Kwok
    Alexander A. Chubykin
    Peng Yin
    Sarah Calve
    Gary E. Landreth
    Fang Huang
    [J]. Nature Methods, 2020, 17 : 531 - 540
  • [3] Enhancing the resolution of three-dimensional migration images based on space-variant point spread function deconvolution
    Liu, Cewen
    Sun, Mengyao
    Wu, Wei
    Dai, Nanxun
    Guo, Mingjie
    Wei, Yanwen
    Wu, Xiaofeng
    Fu, Haohuan
    [J]. GEOPHYSICAL PROSPECTING, 2024, 72 (05) : 1672 - 1697
  • [4] Enhanced three-dimensional deconvolution microscopy using a measured depth-varying point-spread function
    Shaevitz, Joshua W.
    Fletcher, Daniel A.
    [J]. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2007, 24 (09) : 2622 - 2627
  • [5] Three-dimensional point spread function measurements of imaging spectrometers
    Jemec, Jurij
    Pernus, Franjo
    Likar, Bostjan
    Burmen, Miran
    [J]. JOURNAL OF OPTICS, 2017, 19 (09)
  • [6] Quantitative electron tomography: The effect of the three-dimensional point spread function
    Heidari, Hamed
    Van den Broek, Wouter
    Bals, Sara
    [J]. ULTRAMICROSCOPY, 2013, 135 : 1 - 5
  • [7] Three-dimensional point spread function characterization of a radially displaced scatterer
    Majumder, Uttam K.
    Temple, Michael A.
    Minardi, Michael J.
    Zelnio, Edmund G.
    [J]. ALGORITHMS FOR SYNTHETIC APERTURE RADAR IMAGERY XIV, 2007, 6568
  • [8] Optimizing three-dimensional point spread function in lensless holographic microscopy
    Behal, Jaromir
    Bouchal, Zdenek
    [J]. OPTICS EXPRESS, 2017, 25 (23): : 29026 - 29042
  • [9] Deconvolution of vibroacoustic images using a simulation model based on a three dimensional point spread function
    Perciano, Talita
    Urban, Matthew W.
    Mascarenhas, Nelson D. A.
    Fatemi, Mostafa
    Frery, Alejandro C.
    Silva, Glauber T.
    [J]. ULTRASONICS, 2013, 53 (01) : 36 - 44
  • [10] Single shot three-dimensional imaging using an engineered point spread function
    Berlich, Rene
    Braeuer, Andreas
    Stallinga, Sjoerd
    [J]. OPTICS EXPRESS, 2016, 24 (06): : 5946 - 5960
12345