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Eye tracking reveals expert gaze patterns during intracytoplasmic sperm injection
Azusa Asai1, Hayato Hagiwara1,2, Kazuki Hano3
1Laboratory for Clinical Evaluation with Robotics, Assistive Robot Center, National Center for Geriatrics and Gerontology, Obu, Aichi, 474-8511, Japan.
Scientific Reports
|June 19, 2026
Summary
Experts demonstrate superior microinjection skills in Intracytoplasmic sperm injection (ICSI) procedures, as revealed by eye-tracking analysis. This technology can help develop AI for automated ICSI skill assessment and technical support.
Area of Science:
- Reproductive Medicine
- Biotechnology
- Human Physiology
Background:
- Intracytoplasmic sperm injection (ICSI) is a complex assisted reproductive technology requiring specialized skills.
- Current ICSI performance evaluation focuses on outcomes, neglecting operator-specific technical proficiency.
- Assessing intrinsic operator skills is crucial for improving ICSI training and practice.
Purpose of the Study:
- To analyze and compare the microinjection expertise of ICSI operators using eye-tracking technology.
- To identify objective metrics for evaluating ICSI technical skills based on gaze behavior.
- To explore the potential of eye-tracking data for developing AI-driven ICSI skill assessment tools.
Main Methods:
- Utilized eye-tracking technology to monitor and record the gaze patterns of experts and novices during microinjection.
- Compared procedural times, fixation durations, saccade counts, and gaze consistency between expert and novice groups.
- Analyzed heat maps and gaze plots to visualize and differentiate eye-gaze behaviors.
Main Results:
- Experts exhibited significantly shorter and more consistent procedural times compared to novices.
- Novices showed a gradual decrease in time but maintained unstable performance, especially during oocyte rotation.
- Eye-tracking data revealed distinct, efficient, and consistent gaze patterns in experts versus novices.
Conclusions:
- Eye-tracking technology provides objective insights into microinjection expertise during ICSI.
- Expertise in ICSI is characterized by efficient and stable eye-gaze patterns.
- The findings support the development of AI-driven systems for automated ICSI skill evaluation and technical assistance.

