# Low Latency Eye-Motion Compensation

> **NIH NIH R01** · STANFORD UNIVERSITY · 2021 · $459,913

## Abstract

PROJECT SUMMARY
Adaptive optics (AO) scanning ophthalmoscopy allows non-invasive visualization of microscopic retinal
structures by correcting the optical blur that is unique to each eye. In these instruments, however, image
distortion due to involuntary fixational eye movement is a barrier to improving the understanding, early
diagnosing, and management of eye disease. We propose to develop high-bandwidth eye motion stabilization
technology and image registration software to mitigate this distortion even in subjects with the most extreme
forms of involuntary eye motion, including nystagmus. This will be achieved by using a high frame rate pupil
tracker that measures the eye’s orientation and by steering galvanometric optical scanners to simultaneously
stabilize the view of the pupil and the retina as seen by AO scanning ophthalmoscopes with sub-millisecond total
latency. Our goal here is to develop low-cost, low-complexity, and high-bandwidth retinal imaging stabilization
instrumentation that can be used to upgrade both AO and non-AO ophthalmoscopes, using control algorithms
that incorporate eye motion prediction, electronic and mechanical latency. Finally, we will also develop image
registration software for scanning ophthalmoscopes that uses the high frame rate pupil tracking to improve
accuracy and reduce failure rate, as well as automate the identification of and un-distort reference frames. The
proposed technology will be applicable to all scanning ophthalmoscopes, irrespective of imaging modality.

## Key facts

- **NIH application ID:** 10186175
- **Project number:** 1R01EY032669-01
- **Recipient organization:** STANFORD UNIVERSITY
- **Principal Investigator:** Alfredo Dubra
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $459,913
- **Award type:** 1
- **Project period:** 2021-06-01 → 2025-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10186175

## Citation

> US National Institutes of Health, RePORTER application 10186175, Low Latency Eye-Motion Compensation (1R01EY032669-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10186175. Licensed CC0.

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