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完全在智能手机上:有效地加快精子跟踪算法,用于治疗点精子分析.

Yongbin Zheng, Aojun Jiang, Xiliang Wang

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    |September 29, 2025
    PubMed
    概括

    一个新的智能手机系统在护理点提供了准确,低成本的精液分析. 全球-本地集成JPDAF (GLIJPDAF) 克服了在移动设备上密集精子跟踪的计算限制.

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    科学领域:

    • 生物医学工程 生物医学工程
    • 移动卫生技术 移动卫生技术
    • 生殖健康诊断 生殖健康诊断

    背景情况:

    • 精液分析对于男性不孕症的诊断至关重要.
    • 目前的方法往往是基于实验室的,昂贵的,在资源较低的环境中无法使用.
    • 在资源有限的移动设备上分析密集的精子样本存在计算挑战.

    研究的目的:

    • 开发一个负担得起的,准确的,基于智能手机的系统,用于点的护理精液分析.
    • 解决移动设备上跟踪高密度精子样本的计算瓶.

    主要方法:

    • 开发了一个便携式光学附件用于智能手机显微镜.
    • 引入了全球-本地集成JPDAF (GLIJPDAF) 算法,以克服精子跟踪中的计算瓶.
    • 实施了两阶段的集群策略:用于矩阵分区的全球集群和用于复杂度上限的适应k-means++的本地集群.

    主要成果:

    • 在四个智能手机平台的90名患者样本上,GLIJPDAF取得了高准确度.
    • 平均度误差为0.84万/毫升,平均运动误差为0.74%.
    • 在所有测试的设备上,每3秒视频的处理时间始终在120秒以下.

    结论:

    • 智能手机集成GLIJPDAF可实现快速,准确的临床精液分析,即使在资源有限的设备上进行高密度样本.
    • 这种可访问的解决方案可以扩大服务不足地区的男性不孕症查.