Laser & Optoelectronics Progress, Volume. 58, Issue 14, 1400001(2021)

Review of Fourier Ptychographic Microscopy: Models, Algorithms, and Systems

Shaohui Zhang, Guocheng Zhou, Baiqi Cui, Yao Hu, and Qun Hao*
Author Affiliations
  • School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
  • show less

    Large field of view, high resolution, and phase imaging are long-term goals pursued in the field of optical microscopy. Nevertheless, it is difficult to balance these performances in the conventional optical microscopic framework, which largely limits the application scope of conventional optical microscopy. Conventional microscopic imaging methods improve the imaging space-bandwidth product (SBP) or phase-imaging capability at the expense of a significant increase in the system construction cost or decrease in other imaging performances. Fourier ptychographic microscopy (FPM), as a representative computational microscopy imaging technology framework, can achieve large SBP and quantitative phase imaging simultaneously, without requiring precision mechanical scanning devices and interferometric systems. FPM has been widely studied and used in the fields of digital microscopy and life sciences; it has high research value and application prospects. In this article, the related research progress of FPM from the aspects of basic physical model, phase-recovery algorithm, and system-construction method is reviewed. In addition, the theory and application development direction of FPM are analyzed and discussed.

    Tools

    Get Citation

    Copy Citation Text

    Shaohui Zhang, Guocheng Zhou, Baiqi Cui, Yao Hu, Qun Hao. Review of Fourier Ptychographic Microscopy: Models, Algorithms, and Systems[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1400001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Reviews

    Received: Apr. 25, 2021

    Accepted: May. 18, 2021

    Published Online: Jul. 8, 2021

    The Author Email: Hao Qun (qhao@bit.edu.cn)

    DOI:10.3788/LOP202158.1400001

    Topics