| Wu Mengyun,Li Wei,Zhang Huadong,Yuan Fang,Tan Xiuhong.Establishing a dose-response curve for 60Co γ-ray irradiation-induced micronuclei in human peripheral blood cells using artificial intelligence-based color recognition[J].Chinese Journal of Radiological Medicine and Protection,2024,44(1):7-12 |
| Establishing a dose-response curve for 60Co γ-ray irradiation-induced micronuclei in human peripheral blood cells using artificial intelligence-based color recognition |
| Received:May 22, 2023 |
| DOI：10.3760/cma.j.cn112271-20230522-00156 |
| KeyWords:Artificial intelligence Dose-response curve Cytochalasin B blocking micronucleus method Human peripheral blood |
| FundProject:重庆市自然科学基金(CSTB2022NSCQ-MSX1220);重庆市科卫联合医学科研项目(2022QNXM030,2022ZDXM034) |
| Author Name | Affiliation | E-mail | | Wu Mengyun | Radiology Laboratory, Department of Occupational Health and Radiological Health, Chongqing Center for Disease Control and Prevention, Chongqing 400707, China | | | Li Wei | Radiology Laboratory, Department of Occupational Health and Radiological Health, Chongqing Center for Disease Control and Prevention, Chongqing 400707, China | | | Zhang Huadong | Radiology Laboratory, Department of Occupational Health and Radiological Health, Chongqing Center for Disease Control and Prevention, Chongqing 400707, China | | | Yuan Fang | Radiology Laboratory, Department of Occupational Health and Radiological Health, Chongqing Center for Disease Control and Prevention, Chongqing 400707, China | | | Tan Xiuhong | Radiology Laboratory, Department of Occupational Health and Radiological Health, Chongqing Center for Disease Control and Prevention, Chongqing 400707, China | wumycdc@163.com |
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| Abstract:: |
| 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= 0.0321D2+0.0237D+0.0127 (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. |
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