Laser & Optoelectronics Progress, Volume. 61, Issue 24, 2437001(2024)

Automatic Phase Decoupling Based on a Single-Frame Image

Jiaojiao Wang*, Jinbing Huang, Yixin Xu, Yuanyuan Xu, and Ying Ji
Author Affiliations
  • School of Physics and Electronic Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu , China
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    Figures & Tables(13)
    Label-free digital cell imager Biophase. (a) Light source; (b) condenser lens; (c) sample platform; (d) electric platform controller; (e) Phaseview device
    The phase distributions of polystyrene microspheres with a diameter of 70 μm. (a) Phase distribution of 70 μm spheres in NaCl solution diluted 2 times; (b) phase distribution of 70 μm spheres in NaCl solution diluted 5 times;(c) phase distribution of 70 μm spheres in NaCl solution diluted 10 times
    Morphology and phase distribution of red blood cell. (a) Erythrocyte phase profile; (b) thickness map decoupled by dual-wavelength method
    Partial phase data from the red blood cell test set
    Structural diagrams. (a) Residual module; (b) dense connection modules
    Network structure of attention mechanism in DARU-Net model
    Network structure diagram of DARU-Net model
    Loss value during training. (a) Loss value curve of polystyrene microsphere training set; (b) loss value curve for the polystyrene microsphere test set
    Separation results of polystyrene microsphere thickness and refractive index. (a) Thickness distribution predicted by the model; (b) comparison of the axial distribution of the predicted thickness with label value; (c) axial refractive index distribution
    Separation results of red blood cell thickness and refractive index. (a) Thickness prediction of red blood cell by the model; (b) comparison of reconstructed axial thickness curves of red blood cell; (c) refractive index axial distribution of red blood cell
    • Table 1. Relationship between phase value and physical thickness of polystyrene microspheres (diameter 8 μm)

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      Table 1. Relationship between phase value and physical thickness of polystyrene microspheres (diameter 8 μm)

      IndexNon-sample regionSample region
      Phase value /rad1.586.342.748.4513.6019.56
      Thickness /μm0.120.481.073.305.317.64
    • Table 2. Evaluation indexes of DARU-Net for prediction results of microspheres and red blood cell test sets

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      Table 2. Evaluation indexes of DARU-Net for prediction results of microspheres and red blood cell test sets

      DataR2 /%RMSEMAPEMedAEDA /%
      Microspheres76.460.17290.55970.537094.98
      RBC71.150.26250.71320.642887.01
    • Table 3. Evaluation indexes of prediction results of microspheres and red blood cell test sets by DARU-Net network without attention mechanism

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      Table 3. Evaluation indexes of prediction results of microspheres and red blood cell test sets by DARU-Net network without attention mechanism

      DataR2 /%RMSEMAPEMedAEDA /%
      Microspheres74.850.17260.63290.559180.76
      RBC70.280.32810.80640.670471.42
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    Jiaojiao Wang, Jinbing Huang, Yixin Xu, Yuanyuan Xu, Ying Ji. Automatic Phase Decoupling Based on a Single-Frame Image[J]. Laser & Optoelectronics Progress, 2024, 61(24): 2437001

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    Paper Information

    Category: Digital Image Processing

    Received: Apr. 7, 2024

    Accepted: Apr. 24, 2024

    Published Online: Dec. 19, 2024

    The Author Email:

    DOI:10.3788/LOP241052

    CSTR:32186.14.LOP241052

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