Chinese Journal of Lasers, Volume. 51, Issue 15, 1507108(2024)

Multi-Dimensional Morphological Characterization and Drug Effects of Tumor Organoids Based on OCT and Machine Learning

Chuanwei Mao1, Shanshan Yang1,2、*, Xiao Liang3, Ling Wang1,2, and Ming en Xu1,2
Author Affiliations
  • 1School of Automation, Hangzhou Dianzi University, Hangzhou 310018, Zhejiang , China
  • 2Key Laboratory of Medical Information and 3D Bioprinting of Zhejiang Province, Hangzhou 310018, Zhejiang , China
  • 3General Surgery Department, Sir Run Run Shaw Hospital Affiliated to Zhejiang University School of Medicine, Hangzhou 310018, Zhejiang , China
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    Figures & Tables(10)
    Optical coherence tomography imaging device. (a) A physical image of the OCT prototype, with 1, 2, and 3 representing the interference module, the three-axis mobile module carrying the imaging probe, and the well plate placement area, respectively; (b) a physical image of the whole organoid imaging analyzer
    Organoid imaging results. (a1) 3D OCT imaging; (a2) 2D OCT imaging; (b1) segmentation result of 3D OCT image; (b2) segmentation result of 2D OCT image; (c1)‒(c9) nine single organoids in the organoid cluster
    Frequency distributions of morphological parameters (solid volume, surface area, and cavity volume) for single organoids before and after undersampling
    Clustering analysis results and bright-field microscopy images of organoid clusters in different wells before and after dosing. (a1)‒(d1) Clustering analysis results of organoid clusters in each well before dosing, where the blue channel represents category 1, the green channel represents category 2, and the orange channel represents category 3; (a2)‒(d2) bright-field microscopy images of organoid clusters in each well before dosing; (a3)‒(d3) clustering analysis results of organoid clusters in each well after dosing; (a4)‒(d4) bright-field microscopy images of organoid clusters in each well after dosing
    • Table 0. [in Chinese]

      View table

      Table 0. [in Chinese]

      Serial numberConcentration of icaritin /(μmol/L)Well numberComposite score of the growth level FRelative growth value

      ATP value

      on Day5

      FDay3FDay5FDay5-FDay3
      19ControlE110.0570.8380.78114700000
      20F11-0.5360.2920.82811180000
      21F20.5742.0761.50218240000
      22F6-0.4880.8721.36020320000
      23F8-0.7160.9981.71417170000
      24F9-0.2820.3380.62015830000
    • Table 1. Organoid groups and drug regimens

      View table

      Table 1. Organoid groups and drug regimens

      Group numberWell numberDrugConcentration
      Group1_1B2, B3, B4, C2, C3, C4Icaritin20 μmol/L
      Group1_2B5, B6, B7, C5, C6, C740 μmol/L
      Group1_3B8, B9, B10, C8, C9, C1080 μmol/L
      Group2_1D2, D3, D4, E2, E3, E4Cisplatin20 μg/mL
      Group2_2D5, D6, D7, E5, E6, E750 μg/mL
      Group2_3D8, D9, D10, E8, E9, E10100 μg/mL
      Group3

      F2, F3, F4, F5, F6, F7, F8

      F9, F10, F11, B11, C11, D11, E11

      Control
    • Table 2. Morphological parameters of the nine organoids in Fig. 2(c)

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      Table 2. Morphological parameters of the nine organoids in Fig. 2(c)

      Organoid numberSolid volume /μm3Surface area /μm2Cavity volume /μm3Cyst thickness /μmSphericity /arb.unitsLongest-axis length /μmShortest-axis length /μm
      c192093755419258929875170.62797340
      c275138754582257867250160.65528305
      c338893752778003297875140.65468250
      c438116252448001374125160.59554205
      c531621252418750130.43701265
      c62976250221450991125130.55459265
      c72588250212700511500120.48554180
      c82008250188875321000110.45390210
      c92539875185775153875140.50546145
    • Table 3. Statistical results of morphological parameters based on clustering (B9)

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      Table 3. Statistical results of morphological parameters based on clustering (B9)

      Dosing or notCategory No.NumberSolid volume average /μm3Surface area average /μm2Cavity volume /μm3
      Before dosing128413378±73422442±12020
      2151209267±28297022324±225960
      394188778±2334620285936±1192052605181±2243600
      After dosing122613627±79472530±13350
      2172253583±37637426592±309980
      384972031±2989793274566±1056650
      Dosing or notCategory No.Longest-axis length average /μmShortest-axis length average /μmCyst thickness average /μmSphericity average /arb.units
      Before dosing161±1716±701.15±0.15
      2142±7060±7000.76±0.12
      3555±118241±5814±20.55±0.08
      After dosing163±2114±601.13±0.15
      2146±8261±3800.74±0.13
      3509±97230±5717±40.50±0.07
    • Table 4. Principal component load matrix

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      Table 4. Principal component load matrix

      Selected features (eigenvalue >1)PCA1PCA2PCA3PCA4
      Number 1 (X1)-0.375-0.5860.470-0.308
      Solid volume 1 (X2)-0.356-0.2180.0380.796
      Axial ratio 1 (X3)0.346-0.2640.4210.124
      Number 2 (X4)-0.062-0.7420.386-0.418
      Solid volume 2 (X5)-0.6080.5840.505-0.087
      Surface area 2 (X6)-0.5920.5960.530-0.022
      Sphericity 2 (X7)0.654-0.651-0.2900.046
      Number 3 (X8)0.4400.2570.156-0.330
      Solid volume 3 (X9)0.7670.2240.4200.283
      Surface area 3 (X10)0.8500.2310.3380.118
      Cavity volume 3 (X11)0.6040.577-0.324-0.131
      Cystic thickness 3 (X12)-0.699-0.222-0.1190.280
      Sphericity 3 (X13)-0.4350.236-0.720-0.245
    • Table 5. Twenty-four sets of verification data for the composite scores of PDOs growth level

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      Table 5. Twenty-four sets of verification data for the composite scores of PDOs growth level

      Serial numberConcentration of icaritin /(μmol/L)Well numberComposite score of the growth level FRelative growth value

      ATP value

      on Day5

      FDay3FDay5FDay5-FDay3
      180B80.4190.019-0.400312700
      2B9-0.278-0.690-0.412140300
      3B10-0.1060.0530.159601300
      4C100.237-0.507-0.744211800
      5C80.212-0.439-0.651211300
      6C90.268-0.203-0.471465900
      740B5-0.315-0.567-0.252511900
      8B6-0.160-0.0070.153404500
      9B70.074-0.239-0.313403900
      10C5-0.176-0.1040.072330900
      11C60.102-0.080-0.182238900
      12C70.405-0.340-0.745682100
      1320B2-0.1340.0430.1775391000
      14B3-0.192-0.1180.0746538000
      15B4-0.0250.1290.1547103000
      16C20.3180.4200.1026336000
      17C30.2180.3220.1058336000
      18C4-0.362-0.420-0.0586800000
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    Chuanwei Mao, Shanshan Yang, Xiao Liang, Ling Wang, Ming en Xu. Multi-Dimensional Morphological Characterization and Drug Effects of Tumor Organoids Based on OCT and Machine Learning[J]. Chinese Journal of Lasers, 2024, 51(15): 1507108

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    Paper Information

    Category: Biomedical Optical Imaging

    Received: Feb. 19, 2024

    Accepted: May. 7, 2024

    Published Online: Jun. 28, 2024

    The Author Email: Shanshan Yang (yangshan@hdu.edu.cn)

    DOI:10.3788/CJL240595

    CSTR:32183.14.CJL240595

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