基于人工智能的增强现实显微镜用于微型TESE中的实时精子检测和跟踪
Mahmoud Mohamed1, Ezaki Yuriko2, Yuta Kawagoe1,3,4
1Laboratory for Biomaterials and Bioengineering, Institute of Science Tokyo, Tokyo 152-8550, Japan.
Bioengineering (Basel, Switzerland)
|January 28, 2026
概括
这项研究引入了人工智能的增强现实显微镜系统,以帮助在非阻断性亚精子症 (NOA) 治疗期间更快地找到精子. 该技术显著提高了精子检测率,可能减少男性不孕症的手术时间.
科学领域:
- 生殖医学 生殖医学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 非阻塞性精症 (NOA) 是严重的男性不孕症原因之一.
- 微切割丸精子提取 (Micro-TESE) 是耗时且劳动密集的NOA诊断.
- 手动在微型TESE中搜索精子可能需要几个小时,导致胚胎学家疲劳.
研究的目的:
- 开发和评估一个增强现实 (AR) 显微镜系统与人工智能加速精子检索在微型TESE.
- 为了提高在NOA治疗期间精子识别的效率和准确性.
主要方法:
- 集成一个深度学习模型 (YOLOv5) 实时检测精子.
- 实施多对象追踪器 (DeepSORT) 用于精子跟踪和运动分析.
- 通过AR将精子数据 (位置,运动) 叠加到显微镜眼镜视图上,用于胚胎学家的指导.
主要成果:
- 与经典方法相比,YOLOv5模型在精子检测方面表现出更高的准确性和速度 (精度为0.81,回忆为0.52).
- 在实验试验中,AR显微镜系统大约使精子检测率翻了一番 (66.9%vs30.8%).
- 该系统提供实时视觉指导,突出显示精子,并可能减少微型TESE程序的持续时间.
结论:
- 带有AI的AR显微镜系统显著帮助胚胎学家在NOA的精子检索中.
- 这项技术有望提高辅助生殖技术 (ART) 的效率和结果.
- 实时人工智能驱动的精子识别可以减轻微型TESE程序的负担.
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