Early detection of eye disease is critical for preventing vision loss that affects more than 38 million Americans. Current diagnostic tools often reveal retinal changes only after vision loss has already occurred. Tests of visual function are limited by their subjectivity, and by the pooling of signals from tens to thousands of retinal cells. Tests of retinal structure are limited by the substantial anatomical variation among individuals, which makes early disease detection impossible without baseline measurements. In most cases structural tests can therefore detect only macroscopic changes that follow major cell death. These limitations could be overcome by a non-invasive method to detect chemical changes that precede cell death. For this purpose, we will develop two novel technologies, adaptive longitudinal chromatic aberration (LCA) correction and axially- resolved hyperspectral retinal imaging. These will be demonstrated in combination with ophthalmic adaptive optics, to characterize the spectra of idiopathic epiretinal membranes, with or without associated retinal traction or macular hole, as well as age-related macular degeneration and central serous retinopathy.

Public Health Relevance

In this grant we will develop adaptive longitudinal aberration correction and axially-resolved hyperspectral confocal retinal imaging with monochromatic aberration correction. These novel technologies will be used to search for non-invasive biomarkers in epiretinal membranes.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
7R01EY025231-03
Application #
9390009
Study Section
Biomedical Imaging Technology B Study Section (BMIT-B)
Program Officer
Greenwell, Thomas
Project Start
2015-05-01
Project End
2020-04-30
Budget Start
2016-12-01
Budget End
2017-04-30
Support Year
3
Fiscal Year
2016
Total Cost
$278,576
Indirect Cost
$101,139
Name
Stanford University
Department
Ophthalmology
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94304
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