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.