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血吸虫毛蚴动态自动识别系统(装置)效果评价
引用本文:高原,杨佩才,杨苏,徐斐. 血吸虫毛蚴动态自动识别系统(装置)效果评价[J]. 中国血吸虫病防治杂志, 2018, 30(1): 54-56
作者姓名:高原  杨佩才  杨苏  徐斐
作者单位:江苏省南京市疾病预防控制中心(南京210003)
基金项目:江苏省卫生厅科研项目(X201418);江苏省南京市医学科技发展专项资金重点项目(ZKX14048)
摘    要:目的 研发血吸虫毛蚴动态自动识别系统(装置),实现其自动化检测,以提高其检测效率和检出率。方法 血吸虫毛蚴动态自动识别系统(装置)由光学体视镜、数字摄像机、动态自跟踪识别软件和计算机组成。在不同条件下,对比系统检测与5名专业人员人工检测的效率、准确率等。结果 血吸虫毛蚴动态自动识别系统(装置)的基本功能为毛蚴动态识别、标记、提醒,并可以自动保存视频和生成登记表、检验单等。室内实验该系统可自动识别毛蚴,无漏检率。人工检测无水虫组总符合率为74.67%,有水虫组为66.67%,系统检测总符合率则分别为100.00%和96.67%,差异有统计学意义([χ2] = 9.634、11.081,P 均< 0.01),系统检测效果优于人工。结论 血吸虫毛蚴动态自动识别系统(装置)可以替代人工观察,该系统可以用于血吸虫病的现场查病及相关基础研究。

关 键 词:日本血吸虫;毛蚴;自动识别;效果评价  

Effectiveness evaluation of dynamic automatic identification system (device) of Schistosoma japonicum miracidia
GAO Yuan,YANG Pei-Cai,YANG Su,XU Fei. Effectiveness evaluation of dynamic automatic identification system (device) of Schistosoma japonicum miracidia[J]. Chinese journal of schistosomiasis control, 2018, 30(1): 54-56
Authors:GAO Yuan  YANG Pei-Cai  YANG Su  XU Fei
Affiliation:Nanjing Center for Disease Control and Prevention| Jiangsu Province| Nanjing 210003| China
Abstract:Objective To develop a dynamic automatic identification system (device) of Schistosoma japonicum miracidia to achieve the automatic detection and improve the detection rate and efficiency of schistosome miracidia. Methods The dynamic automatic identification system (device) of S. japonicum miracidia was composed of an optical stereoscope, a digital camera, dynamic automatic tracking recognition software, and a computer. Under different conditions, the detection rates and efficiency of the system were compared with those of five professional persons. ResultsThe basic function of the system was to identify, label and warn the miracidia of S. japonicum, and the records could be saved automatically. The laboratory tests showed that the missing rate of the system was 0. The total consistent rates of the manual detection were 74.67% and 66.67% in the condition with and without water bug, while the total consistent rates of the system were 100.00% and 96.67%, respectively ([χ2] = 9.634, 11.081, both P < 0.01). ConclusionsThe system is much superior to manual detection in the accuracy and speed, and the system could completely replace the manual detection. Therefore, the system could be used in the field and basic research of schistosomiasis.
Keywords:Schistosoma japonicum; Miracidium; Automatic identification; Effectiveness evaluation
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