🤖 AI Summary
This study addresses the inefficiency and workflow disruption in intracytoplasmic sperm injection (ICSI) caused by frequent manual adjustments of the microscope’s field of view (FOV). The authors propose an adaptive FOV control method that integrates multi-view imaging, high-speed vision, and a galvanometer-based scanning system. For the first time, the approach combines the operator’s eye-gaze fixation points with real-time pipette position and velocity data, employing a long short-term memory (LSTM) model to predict and automatically adjust the optimal FOV without requiring objective lens changes. Experimental results demonstrate a significant improvement in procedural efficiency: novice operators reduced their average task completion time from 60.5 seconds to 48.0 seconds (p < 0.001), achieving performance comparable to that of experts.
📝 Abstract
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.