RESEARCH PLAN: COMPUTATIONAL OPHTHALMOLOGY MODULE OVERVIEW At UCSD, structural imaging instruments such as the spectral domain optical coherence tomography (SD-OCT) and functional instruments are used extensively in animal (Drs. Weinreb, Freeman, Yu, La Spada, Zhang, Freeman) and human studies of glaucoma (Drs. Weinreb, Ju, Lindsay, Zangwill, Medeiros, Balasubramanian) and retinal disease (Drs. Freeman, Yu, Bartsch, Zhang, Cheng). The recent development and commercialization of imaging instruments such as SD-OCT has brought a significant improvement in our ability to visualize and measure the retina in-vivo in both animals and humans. These instruments have potential to dramatically improve our ability to understand the histopathology of major eyes diseases including glaucoma, age-related macular degeneration and diabetic retinopathy. These instruments represent a generational leap forward in technological development and several orders of magnitude more data than previous instruments. The challenge facing both ophthalmic clinicians and researchers is how best to utilize the vast quantity of data to 1) enhance our understanding of the histopathology of eye diseases, and 2) identify structural biomarkers of disease and its progression toward the ultimate goal of improving patient management. The computational ophthalmology module will provide essential centralized resources to support the computationally intensive analysis of structural imaging and functional tests used in animal and human vision research studies. This module will provide dedicated computational resources with a capacity to meet high computational demands and software toolkits that leverage these computational resources so that researchers can analyze the complex and data intensive retinal datasets (imaging and functional testing) outside of the proprietary software available with each ophthalmic test.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Center Core Grants (P30)
Project #
4P30EY022589-05
Application #
9087265
Study Section
Special Emphasis Panel (ZEY1)
Project Start
Project End
Budget Start
2016-07-01
Budget End
2017-06-30
Support Year
5
Fiscal Year
2016
Total Cost
Indirect Cost
Name
University of California San Diego
Department
Type
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
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Yarmohammadi, Adeleh; Zangwill, Linda M; Manalastas, Patricia Isabel C et al. (2018) Peripapillary and Macular Vessel Density in Patients with Primary Open-Angle Glaucoma and Unilateral Visual Field Loss. Ophthalmology 125:578-587
Muftuoglu, Ilkay Kilic; Gaber, Raouf; Bartsch, Dirk-Uwe et al. (2018) Comparison of conventional color fundus photography and multicolor imaging in choroidal or retinal lesions. Graefes Arch Clin Exp Ophthalmol 256:643-649
Branham, Kari; Guru, Aditya A; Kozak, Igor et al. (2018) Identification of Novel Deletions as the Underlying Cause of Retinal Degeneration in Two Pedigrees. Adv Exp Med Biol 1074:229-236
Christopher, Mark; Belghith, Akram; Weinreb, Robert N et al. (2018) Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression. Invest Ophthalmol Vis Sci 59:2748-2756
Kroeger, Heike; Grimsey, Neil; Paxman, Ryan et al. (2018) The unfolded protein response regulator ATF6 promotes mesodermal differentiation. Sci Signal 11:

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