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Updated: Apr 1, 2026

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Published on: July 19, 2012
Pupil tracking optical coherence tomography for precise control of pupil entry position
Oscar Carrasco-Zevallos1, Derek Nankivil1, Brenton Keller1
1Department of Biomedical Engineering, Duke University, 136 Hudson Hall, Box 90281, Durham, NC 27708, USA.
This study introduces automated pupil tracking for optical coherence tomography (OCT) retinal imaging. This technique precisely controls OCT beam entry into the eye, improving image quality and enabling visualization of retinal structures like Henle
Area of Science:
- Ophthalmic imaging
- Biomedical optics
- Retinal imaging technology
Background:
- Optical coherence tomography (OCT) retinal imaging requires precise beam positioning for optimal light collection and aberration minimization.
- Retinal structure reflectivity, such as Henle's Fiber Layer (HFL), is angle-dependent, necessitating control over illumination incidence.
- Existing OCT systems face challenges in maintaining consistent pupil entry position due to eye motion.
Purpose of the Study:
- To develop and validate an automated method for controlling the lateral pupil entry position in retinal OCT.
- To enhance image quality by optimizing light collection and reducing aberrations.
- To enable angle-dependent imaging of retinal structures like HFL.
Main Methods:
- Implementation of a 2D fast steering mirror conjugate to the retinal plane.
- Integration of real-time pupil tracking to dynamically adjust the OCT beam's lateral position.
- Utilizing the system to control the illumination angle of incidence at the retinal plane.
Main Results:
- Demonstrated prevention of lateral motion artifacts through active pupil tracking.
- Achieved precise and stable control over the OCT beam's pupil entry point.
- Successfully visualized the obliquely oriented Henle's Fiber Layer (HFL) by controlling illumination angle.
Conclusions:
- Automated pupil tracking in OCT significantly improves control over beam-eye alignment.
- This method enhances image quality and allows for novel angle-dependent imaging of retinal microstructures.
- The developed system offers a valuable tool for advanced retinal imaging and research.
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