Laser & Optoelectronics Progress, Volume. 57, Issue 22, 221106(2020)

Fourier Ptychographic Microscopy Reconstruction Based on Deep Learning

Yican Chen, Xia Wu*, Zhi Luo, Huidong Yang, and Bo Huang*
Author Affiliations
  • College of Information Science and Technology, Jinan University, Guangzhou, Guangdong 510632, China
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    Figures & Tables(14)
    Diagram of a typical FPM system
    Examples of 7 × 7 low-resolution images acquired by FPM. (a) Original image; (b) Fourier spectrogram; (c) low-resolution image; (d) images observed by LEDs in different positions
    Structure diagram of proposed Fourier stacked microscopy imaging network model
    Convolution module
    Upsampling reconstruction module
    Residual dense module with channel attention mechanism
    Channel attention module
    Example graph for building and using training datasets
    Schematic of three LED lighting modes. (a) Turn on all LEDs; (b) turn on bright-field area LEDs; (c) turn on rhombus area LEDs
    Convergence analysis of FPRDCA with different values of N, I, and G and three sampling patterns. (a) N; (b) I; (c) G; (d) three sampling patterns
    Convergence analysis of FPRDCA, FPRD, and PtychNet
    Test results of each method on the dataset
    • Table 1. Average PSNR and SSIM of each model on 5 benchmark datasets

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      Table 1. Average PSNR and SSIM of each model on 5 benchmark datasets

      MethodSet5Set14Urban100Manga109B100
      PSNR /dBSSIMPSNR /dBSSIMPSNR /dBSSIMPSNR /dBSSIMPSNR /dBSSIM
      PtychNet25.330.808824.320.720922.460.675223.360.796623.580.6605
      AP30.190.912428.360.842426.090.825329.640.901227.030.8227
      BF-929.050.870326.750.762824.760.728627.860.867624.870.6869
      14-4-6433.170.933929.870.858228.070.846332.220.936628.010.8309
      8-8-6433.210.935529.940.852428.060.839932.230.929528.020.8250
      20-8-6433.570.936129.970.869328.180.847632.380.938028.160.8402
      *14-8-6433.180.935129.860.859627.990.837932.160.928227.880.8312
      Rhombus33.160.935429.830.857728.070.846032.050.936927.870.8283
      14-8-1633.020.931929.800.858127.940.834931.940.924727.930.8304
      14-8-3233.330.935429.910.861528.100.839832.260.928528.090.8306
      14-8-6433.460.935429.970.860228.190.848632.270.938428.110.8319
    • Table 2. Average running time for reconstructing a single 128 × 128 image with different models based on 5 benchmark datasets

      View table

      Table 2. Average running time for reconstructing a single 128 × 128 image with different models based on 5 benchmark datasets

      MethodAPPtychNet14-8-648-8-6420-8-6414-8-3214-4-6414-8-16
      Time /ms73020.144.430.251.743.428.839.6
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    Yican Chen, Xia Wu, Zhi Luo, Huidong Yang, Bo Huang. Fourier Ptychographic Microscopy Reconstruction Based on Deep Learning[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221106

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    Paper Information

    Category: Imaging Systems

    Received: Mar. 26, 2020

    Accepted: Apr. 27, 2020

    Published Online: Oct. 24, 2020

    The Author Email: Xia Wu (wuxia_liao@qq.com), Bo Huang (wuxia_liao@qq.com)

    DOI:10.3788/LOP57.221106

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