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Title
Handheld Confocal Endomicroscope System with Tremor Compensation for Retinal Imaging
Issued Date
2025-10-22
Citation
IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.11220 - 11226
Type
Conference Paper
ISBN
9798331543938
ISSN
2153-0866
Abstract

Advancements in biophotonics have driven the development of miniaturized imaging probes for high-resolution in vivo imaging. Probe-based confocal laser endomicroscopy (pCLE) enables cellular-level visualization of tissues but remains challenging for retinal imaging due to the need for non-contact operation, tremor compensation, and precise focal control. This study introduces a novel handheld confocal endomi-croscope system that integrates a custom-built imaging probe, an optical coherence tomography (OCT) distance sensor, and motor-assisted tremor suppression to improve imaging stability and resolution. The system employs a fiber-based common-path swept-source OCT (CPSS-OCT) sensor to maintain a stable focal distance while compensating for involuntary hand tremors using motorized stabilization. A gated recurrent unit (GRU)-based tremor prediction algorithm further enhances image stability. The imaging probe features a PZT tube-driven fiber cantilever resonance for Lissajous scanning, providing a wide field of view with minimal image distortion. In experiments using bovine eye samples, the CR score improved from 0.318 to 0.472, with a 48.43% increase in the in-focus condition when tremor compensation was activated, confirming enhanced image clarity and stability. Experimental results demonstrate that the system effectively stabilizes imaging, reduces motion artifacts, and ensures high-resolution, non-contact retinal imaging. By addressing the limitations of conventional pCLE devices, this system represents a significant advancement in ophthalmic imaging and can potentially improve retinal diagnostics and precision-guided interventions.

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URI
https://scholar.dgist.ac.kr/handle/20.500.11750/59994
DOI
10.1109/iros60139.2025.11246544
Publisher
IEEE Robotics and Automation Society
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송철
Song, Cheol송철

Department of Robotics and Mechatronics Engineering

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