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A Novel Semi-Autonomous Control Framework for Retina Confocal Endomicroscopy Scanning.

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This study introduces a semi-autonomous control framework for retinal probe-based confocal laser endomicroscopy (pCLE). The system enhances image quality and reduces surgeon workload during retinal tissue scanning.

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Area of Science:

  • Biomedical Engineering
  • Ophthalmology
  • Robotics

Background:

  • Probe-based confocal laser endomicroscopy (pCLE) enables real-time retinal tissue characterization for diagnosis and surgical planning.
  • Manual scanning with pCLE is challenging due to limited field of view and probe focus, exacerbated by physiological hand tremor.

Purpose of the Study:

  • To develop and validate a novel semi-autonomous control framework for pCLE retinal scanning.
  • To overcome limitations of manual scanning and improve image quality and surgical outcomes.

Main Methods:

  • Integration of a Steady-Hand Eye Robot (SHER) with a pCLE system for semi-autonomous probe control.
  • Implementation of a hybrid motion control strategy for autonomous focus optimization and tremor reduction.
  • Validation through experimental evaluations and a user study with 9 participants.

Main Results:

  • The proposed framework enables tremor-free scanning of retinal tissue.
  • Autonomous control optimizes pCLE image sharpness and quality.
  • Statistical analysis confirmed a significant reduction in user workload and enhanced performance.

Conclusions:

  • The developed semi-autonomous framework effectively addresses challenges in pCLE retinal scanning.
  • This technology has the potential to improve diagnostic accuracy and surgical predictability in ophthalmology.
  • The system enhances surgeon performance and image quality during retinal procedures.