Abstract:Abstract: The newly established accurate analysis module for detecting circulating tumor cells (CTCs) (Metafer 5) was used in this study. In order to achieve accurate analysis by Metafer 5, the digital module was optimized. Thirty-three malignant tumors patients were enrolled. Meanwhile, in order to acquire the best application parameters by Metafer 5, we screened the best fluorescent dyes by comparing the characteristics of 4', 6-diamidino-2-phenylindole (DAPI), Rhodamine, fluorescein isothiocyanate (FITC) and TexRed, assessed accuracy and efficiency of CTCs scanning among 10×PA, 10×PN, and 20×PA objective lens and optimized the exposure time of each fluorescent channel. Additionally, CTCs identification was evaluated by both manual examination and Metafer 5 system. According to the data, the results showed that scanning time of CTCs by two objective lens was (114.70±22.08) and (116.50±47.38) min, respectively, and the 10×PA objective lens presented higher accuracy and efficiency. When the exposure time of DAPI, EpCAM, CD45 and CEP8 was adjusted to 0.003, 0.800, 0.040 and 0.068 s, respectively, the clearest and best quality fluorescent images were presented. At the same time, comparing to the manual work, based on the optimal parameters of Metafer 5, not only the time cost was 73.40 min less (P<0.05), but also the accuracy reached 100.00%, which was 8.83% higher than manual work. Above all, the optimized Metafer 5 system could detect CTCs automatically, accurately and quickly in blood sample, which could be used for auxiliary interpretation of CTCs, and could have a future application in clinical practice.
Key words: Metafer 5 scan system; CTCs analysis; image processing; artificial intelligence; auxiliary diagnosis
(Acta Laser Biology Sinica, 2022, 31(2): 149-156)
引用本文:
蒋婷婷,王 丹,李和沛,李燕雏. Metafer 5玻片自动扫描系统在循环肿瘤细胞检测中辅助诊断的应用[J]. 激光生物学报, 2022, 31(2): 149-156.
JIANG Tingting, WANG Dan, LI Hepei, LI Yanchu. Application of Metafer 5 Slide Automatic Scanning System in Auxiliary Diagnosis of Circulating Tumor Cells. journal1, 2022, 31(2): 149-156.