Chinese Journal of Lasers, Volume. 51, Issue 21, 2107105(2024)

Fluorescence Fluctuation‐Based Super‐Resolution Microscopic Imaging Based on a Multilayer Perceptron

Zhiping Zeng*, Biqing Xu, Jin Qiu, Xinyi Chen, Canhua Xu, and Yantang Huang
Author Affiliations
  • College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, Fujian , China
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    Figures & Tables(8)
    Signal generation interface of the fluorescence fluctuation super-resolution comprehensive image reconstruction platform
    Comparison of fluorescence fluctuation characteristics between simulated and experimental data. (a)‒(c) Wide-field images of 100-frame simulated data, 100-frame experimental data, and 500-frame experimental data; (d)‒(f) time-dependent average intensity curves for three selected regions from wide-field images of 100-frame simulated data, 100-frame experimental data, and 500-frame experimental data, where ROI 1, ROI 2, and ROI 3 correspond to the boxed regions in yellow, green, and blue, respectively; (g)‒(i) intensity curves over time for the region ROI 3
    Fluorescence fluctuation super-resolution imaging and the intensity curves. (a) Simulation image operation interface; (b) experimental image operation interface; (c) normalized intensity distribution curves at the simulated microtubule crossing points for the wide-field image and super-resolution images reconstructed by 4 algorithms
    Multilayer perceptron architecture and its loss function curve. (a) Schematic diagram of the multilayer perceptron network structure established in this study; (b) error variation curve of the loss function
    Diagram of the multilayer perceptron model output results. (a) Parameters of input neurons in the multilayer perceptron model; (b) output results of the MLP model; (c) reconstructed images from four super-resolution algorithms and their corresponding CEF values
    • Table 1. Comparison of reconstructed image quality of various fluorescence fluctuation super-resolution imaging algorithms

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      Table 1. Comparison of reconstructed image quality of various fluorescence fluctuation super-resolution imaging algorithms

      Algorithm

      On-state

      probability /%

      On-off

      brightness ratio

      Noise /

      dB

      FramesRSPRSESNR /dBKR/nmRun time/s
      SOFI2100∶1101000.9735.76812.8682.08519010.618
      MSSR2100∶1101000.9765.4477.0900.99615097.381
      MUSICAL2100∶1101000.48821.92219.1433.96890~12000
      SPARCOM2100∶1101000.89511.20113.4122.31244~12000
      3rd-SOFI2100∶11010000.9858.97116.5082.64713916.950
      4th-SOFI2100∶11010000.9899.49216.2282.64913916.950
      SOFI202∶1101000.9715.6097.4921.0211995.669
      MSSR202∶1101000.9900.99717.5951.12120594.794
      MUSICAL202∶1101000.8380.193815.9873.697105
      SPARCOM202∶110100
      SOFI20100∶121000.86711.6187.1770.9351927.029
      MSSR20100∶121000.9417.8913.8450.58026592.411
      MUSICAL20100∶121000.72915.99717.0324.02390
      SPARCOM20100∶121000.81113.66912.9452.06558
      SOFI60100∶1101000.9685.99110.5771.64119013.117
      MSSR60100∶1101000.9893.5597.9461.20718995.603
      MUSICAL60100∶1101000.70517.08217.8824.067120
      SPARCOM60100∶110100
    • Table 2. Imaging quality comparison of four super-resolution algorithms

      View table

      Table 2. Imaging quality comparison of four super-resolution algorithms

      AlgorithmRSPRSEKSNR /dBR /nm
      Wide-field image2.446308
      SOFI0.869.9951.3989.175231
      MSSR0.9436.4731.6789.482195
      MUSICAL0.74512.9122.48111.041100
      SPARCOM0.83910.5572.43320.64160
    • Table 3. Reconstructed image quality comparison of fluorescence fluctuation super-resolution imaging algorithms

      View table

      Table 3. Reconstructed image quality comparison of fluorescence fluctuation super-resolution imaging algorithms

      Algorithm

      On-state

      probability /%

      On-off

      brightness ratio

      Input

      SNR /dB

      FramesRSPRSE

      Output

      SNR /dB

      KR /nmCEF
      SOFI20300∶110.331000.9605.59010.8961.7091880.3245
      MSSR20300∶110.331000.9734.6045.5730.7931780.3778
      MUSICAL20300∶110.331000.65315.12918.3254.132900.3764
      SPARCOM20300∶110.331000.82611.22313.8932.370460.6757
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    Zhiping Zeng, Biqing Xu, Jin Qiu, Xinyi Chen, Canhua Xu, Yantang Huang. Fluorescence Fluctuation‐Based Super‐Resolution Microscopic Imaging Based on a Multilayer Perceptron[J]. Chinese Journal of Lasers, 2024, 51(21): 2107105

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    Paper Information

    Category: Biomedical Optical Imaging

    Received: Jul. 31, 2024

    Accepted: Aug. 26, 2024

    Published Online: Oct. 31, 2024

    The Author Email: Zeng Zhiping (zhipingzeng@fzu.edu.cn)

    DOI:10.3788/CJL241105

    CSTR:32183.14.CJL241105

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