发表机构
Nagoya University; Gifu University（名古屋大学; 岐阜大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究针对ICSI操作中FOV调整耗时问题，提出基于LSTM的自动FOV调整系统，可缩短新手ICSI操作时间至与专家相当水平。
AI 中文摘要
卵胞浆内单精子注射（ICSI）操作人员在操作过程中需频繁调整视场（FOV），这会中断工作流程并增加操作时间。传统显微镜需要手动切换物镜和调整照明以实现不同FOV尺寸。我们提出一种基于AI的自动FOV调整方法，集成于广视野显微镜中，该显微镜通过振镜和高速视觉的多视图成像，可使用单个物镜同时采集大FOV和高分辨率图像，从而无需物理更换镜头。我们的方法利用长短期记忆（LSTM）模型，结合移液管的位置、速度实时分析与操作人员的注视位置，预测合适的FOV尺寸。该AI模型使用拥有五年以上显微操作经验的专家的ICSI操作数据进行训练。对新手操作人员的实验评估显示，所提出的自动FOV调整系统显著提升了ICSI操作速度，将平均任务完成时间从60.5秒缩短至48.0秒（p<0.001），实验还表明，这一改进使新手操作人员能够达到与专家操作人员相当的ICSI操作速度。
英文摘要
Intracytoplasmic sperm injection (ICSI) operators frequently adjust the field-of-view (FOV) during procedures, which interrupts workflow and increases procedure time. Conventional microscopes require manual objective lens switching and illumination adjustments to achieve different FOV sizes. We propose an AI-based automatic FOV adjustment method integrated with a view-expansive microscope. This microscope enables the simultaneous acquisition of a large FOV and high-resolution images using a single objective lens through multiview imaging with galvanometer mirrors and high-speed vision, thereby eliminating the need for physical lens exchanges. Our method utilizes a long short-term memory (LSTM) model to predict the appropriate FOV size based on real-time analysis of the pipette's position and velocity, combined with the operator's gaze position. The AI model is trained using ICSI procedure data from an expert with over five years of micromanipulation experience. Experimental evaluation with novice operators reveals that the proposed automatic FOV adjustment system significantly improves the ICSI procedure speed, reducing the average task completion time from 60.5 to 48.0 s (p < 0.001). The experiments also demonstrate that this improvement enables novice operators to achieve ICSI working speeds equivalent to those of expert operators.
CommentsThis is the accepted version of an article published in IEEE Access 13, 182915-182923 (2025). DOI: 10.1109/ACCESS.2025.3624246. Open Access under CC BY 4.0
Journal refIEEE Access, vol. 13, pp. 182915-182923, 2025
DOI：10.1109/ACCESS.2025.3624246
