目的 根据扫描显微镜搭配玻片扫描软件(Metafer 4)，在松弛素B(CB)阻断微核法试验中识别和鉴定微核，建立60Co γ射线照射剂量与人外周血淋巴细胞微核率的剂量-效应曲线。 方法 采集4名健康人(2男2女)肘静脉血样品，用0、0.25、0.5、1、2、3、4和5 Gy 60Co γ射线(剂量率0.74 Gy/min)离体照射，胞质分裂阻断微核法培养、收获和制备标本玻片，人工智能彩色识别分析系统分析并记录双核细胞和微核数。应用CABAS软件拟合基于微核率的剂量-效应曲线。2份照射后的盲样进行生物剂量估算验证。 结果 在0～5 Gy剂量范围内，拟合的微核剂量-效应曲线符合二次多项式模型，回归方程为y＝0.032 1D2＋0.023 7D＋0.012 7(R2＝0.998，D为剂量)。用拟合曲线对验证样本的剂量估算结果与实际照射剂量基本接近。 结论 成功建立基于人工智能识别微核的剂量-效应曲线，为估算辐射生物剂量提供了可行方法。 Objective To identify micronuclei through the cytochalasin B blocking micronucleus method-based assay using scanning microscope, combined with the slide scanning software Metafer 4 and, accordingly, to establish a dose-response relationship between the dose of 60Co γ-rays and the frequency of micronuclei in human peripheral blood lymphocytes using artificial intelligence-based color recognition. Methods Blood samples were collected from four healthy individuals (two men and two women) and were then exposed to varying doses of 60Co γ-ray radiation (0, 0.25, 0.5, 1, 2, 3, 4, 5 Gy) at a dosage rate of 0.74 Gy/min. Micronucleus slides were prepared as per the GBZ 128-2023 standard. The numbers of binuclear cells and micronuclei were recorded using an artificial intelligence-based color recognition analysis system. The dose-response curve was determined through fitting using the CABAS software. Then, the doses to both independent samples were estimated based on the curve. Results Within a dose range of 0 to 5 Gy, the fitted micronucleus dose-response curve aligned with a quadratic polynomial model, with a regression equation of y = 0.032 1D2+ 0.023 7 D+ 0.012 7 (D denoting the dose, correlation coefficient R2=0.998). The dose estimations from the validation samples closely corresponded to the actual irradiation doses. Conclusions Establishing the micronucleus dose-response curve provides a feasible method and basis for the rapid and accurate estimation of radiation biological doses in laboratory automation.
Establishing a dose-response curve for60Co γ-ray irradiation-induced micronuclei in human peripheral blood cells using artificial intelligence-based color recognition
Objective To identify micronuclei through the cytochalasin B blocking micronucleus method-based assay using scanning microscope, combined with the slide scanning software Metafer 4 and, accordingly, to establish a dose-response relationship between the dose of 60Co γ-rays and the frequency of micronuclei in human peripheral blood lymphocytes using artificial intelligence-based color recognition. Methods Blood samples were collected from four healthy individuals (two men and two women) and were then exposed to varying doses of 60Co γ-ray radiation (0, 0.25, 0.5, 1, 2, 3, 4, 5 Gy) at a dosage rate of 0.74 Gy/min. Micronucleus slides were prepared as per the GBZ 128-2023 standard. The numbers of binuclear cells and micronuclei were recorded using an artificial intelligence-based color recognition analysis system. The dose-response curve was determined through fitting using the CABAS software. Then, the doses to both independent samples were estimated based on the curve. Results Within a dose range of 0 to 5 Gy, the fitted micronucleus dose-response curve aligned with a quadratic polynomial model, with a regression equation of y = 0.032 1D2+ 0.023 7 D+ 0.012 7 (D denoting the dose, correlation coefficient R2=0.998). The dose estimations from the validation samples closely corresponded to the actual irradiation doses. Conclusions Establishing the micronucleus dose-response curve provides a feasible method and basis for the rapid and accurate estimation of radiation biological doses in laboratory automation.
Artificial intelligenceDose-response curveCytochalasin B blocking micronucleus methodHuman peripheral blood
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