Chinese Journal of Lasers, Volume. 50, Issue 21, 2107106(2023)

Self-Adaptive Mixed-Emitter Single-Molecule Localization Algorithm

Yizhe Liu, Weisong Zhao, Yuzhen Liu, and Haoyu Li*
Author Affiliations
  • School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150080, Heilongjiang, China
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    Figures & Tables(7)
    Reconstructed images of two 200 nm stripes apart generated by different algorithms, density of the strip is 1 μm-2 (above) and 51 μm-2 (below), respectively
    Flowchart of SM algorithm, where the process of binary SNR generation, emitter identification and self-adaptation fitting algorithm are represented by yellow, blue and orange arrows, respectively
    Simulation data and algorithm comparison on simulation data. (a) Simulated images with different densities; (b) comparison of metrics of different algorithms; (c) localization error of different algorithms; (d) simulated reference image (ground truth,GT); (e) sectional intensity profiles and local magnification of reconstructed super-resolution images by different algorithms
    Algorithm comparison on experiment data. (a) rFRC maps of super-resolution images obtained from different algorithms; (b)‒(c) local magnification of super resolution images; (d) sectional intensity profile corresponding to white lines in Fig. 4(b)
    • Table 1. Comparison of super-resolution images recovered from different algorithms with ground truth image

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      Table 1. Comparison of super-resolution images recovered from different algorithms with ground truth image

      AlgorithmRMSESSIMPSNR
      SE1.18×1030.55921
      SM0.78×1030.69923.93
      ME1.16×1030.3421.15
    • Table 2. Quantitative resolution features of different algorithms given by rFRC

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      Table 2. Quantitative resolution features of different algorithms given by rFRC

      AlgorithmMin /nmMean /nmMax /nm
      SE19.442.22551.39
      SM19.434.45100.82
      ME19.8544.14200.23
    • Table 3. Comparison of SE, ME and SM algorithms

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      Table 3. Comparison of SE, ME and SM algorithms

      AlgorithmMismatch errorCrosstalk errorAdvantage densityPhoto utilization efficiencyComputational complexitySpeed
      SENoneMuchLowLowSimpleHigh
      MEMuchLittleHighHighComplexLow
      SMNoneNoneFullHighSimpleMiddle
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    Yizhe Liu, Weisong Zhao, Yuzhen Liu, Haoyu Li. Self-Adaptive Mixed-Emitter Single-Molecule Localization Algorithm[J]. Chinese Journal of Lasers, 2023, 50(21): 2107106

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    Paper Information

    Category: Biomedical Optical Imaging

    Received: Mar. 27, 2023

    Accepted: May. 24, 2023

    Published Online: Nov. 7, 2023

    The Author Email: Haoyu Li (lihaoyu@hit.edu.cn)

    DOI:10.3788/CJL230653

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