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构建一个初步的数字寄生虫样本数据库,用于寄生虫学教育和研究
Toru Kanahashi1, Minoru Yamada2, Kentaro Ibuki3
1Human Health Science, Graduate School of Medicine, Kyoto University, Kyoto, 606-8507, Japan. kanahashi.toru.7e@kyoto-u.ac.jp.
Scientific reports
|July 2, 2025
概括
创建了一个虚拟寄生虫幻灯片的数字数据库,以克服医学教育中的样本采集挑战. 本资源增强了全球寄生虫学对寄生虫形态学的学习和研究.
科学领域:
- 医学寄生虫学 医学寄生虫学
- 数字病理学数字病理学
- 医疗教育 技术 技术 医学教育
背景情况:
- 传统的显微镜用于诊断寄生虫感染严重依赖形态学.
- 在发达国家,由于改善的卫生条件和较低的感染率,为医学教育采购多样化的寄生虫标本是困难的.
- 寄生虫的形态分析是学前医学培训的关键组成部分.
研究的目的:
- 开发虚拟寄生虫幻灯片的数字数据库,以支持医学教育和研究.
- 为了解决为训练目的获得物理寄生虫标本的挑战.
- 创建一个可访问和可共享的资源,学习寄生虫形态.
主要方法:
- 收购了50个幻灯片样本,包括寄生虫卵,成年虫和关节动物从京都大学和京都县医学大学.
- 扫描所有标本,从低放大 (例如,,昆虫) 到高放大 (例如,疟疾寄生虫),以创建虚拟幻灯片数据.
- 将虚拟幻灯片编译成数字数据库,按分类组织,附有双语 (英语/日语) 解释说明,并上传到共享服务器.
主要成果:
- 成功创建了一个包含50个虚拟寄生虫幻灯片标本的数字数据库.
- 数据库包括广泛的寄生生物,适合各种放大级别.
- 一个共享服务器允许大约100个用户同时访问,促进机构培训和研究.
结论:
- 虚拟幻灯片数据库为寄生虫形态学教育和研究提供了宝贵的资源,克服了标本稀缺性.
- 该数字资源促进了寄生虫学方面的实践培训和合作研究.
- 该数据库预计将不断增长,为国际寄生虫学教育和未来的研究工作做出贡献.
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