Computational Ophthalmology Core The Computational Ophthalmology Core provides high-performance computing resources and state-of-the- art custom computer programming to UCSD vision researchers completing cellular, animal, and human vision research studies. The data analysis requirements of the vision research community are increasing exponentially as high resolution retinal imaging datasets become the standard, and genomics research utilizes exome and whole genome sequencing. The powerful CPU and GPU computational condo clusters managed by the San Diego Supercomputer Center, the immersive 3-D visualization facility, and custom software tools provided by this core facilitate analysis of these large datasets. The Computational Ophthalmology core also supports a computer programmer with image analysis and signal processing expertise to develop image analysis software toolkits, and to support computational analyses of both basic science and clinical vision research projects. In addition, essential IT services such as automated off-site backup, fileservers for secure file-sharing and institutional software licenses (MATLAB, FilemakerPro, Github, FreezerPro) are provided by the Computational Ophthalmology Core to the UCSD vision research community.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Center Core Grants (P30)
Project #
2P30EY022589-06A1
Application #
9573254
Study Section
Special Emphasis Panel (ZEY1)
Project Start
Project End
Budget Start
2018-08-01
Budget End
2019-06-30
Support Year
6
Fiscal Year
2018
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
Wu, Zhichao; Medeiros, Felipe A; Weinreb, Robert N et al. (2018) Performance of the 10-2 and 24-2 Visual Field Tests for Detecting Central Visual Field Abnormalities in Glaucoma. Am J Ophthalmol 196:10-17
Manalastas, Patricia Isabel C; Belghith, Akram; Weinreb, Robert N et al. (2018) Automated Beta Zone Parapapillary Area Measurement to Differentiate Between Healthy and Glaucoma Eyes. Am J Ophthalmol 191:140-148
Shim, Myoung Sup; Kim, Keun-Young; Noh, Mark et al. (2018) Optineurin E50K triggers BDNF deficiency-mediated mitochondrial dysfunction in retinal photoreceptor cell line. Biochem Biophys Res Commun 503:2690-2697
Galvao, Joana; Iwao, Keiichiro; Apara, Akintomide et al. (2018) The Kr├╝ppel-Like Factor Gene Target Dusp14 Regulates Axon Growth and Regeneration. Invest Ophthalmol Vis Sci 59:2736-2747
Xu, Benjamin Y; Penteado, Rafaella C; Weinreb, Robert N (2018) Diurnal Variation of Optical Coherence Tomography Measurements of Static and Dynamic Anterior Segment Parameters. J Glaucoma 27:16-21
Meshi, Amit; Chen, Kevin C; You, Qi Sheng et al. (2018) ANATOMICAL AND FUNCTIONAL TESTING IN DIABETIC PATIENTS WITHOUT RETINOPATHY: Results of Optical Coherence Tomography Angiography and Visual Acuity Under Varying Contrast and Luminance Conditions. Retina :
Suh, Min Hee; Zangwill, Linda M; Manalastas, Patricia Isabel C et al. (2018) Deep-Layer Microvasculature Dropout by Optical Coherence Tomography Angiography and Microstructure of Parapapillary Atrophy. Invest Ophthalmol Vis Sci 59:1995-2004
Villanueva, Adda; Biswas, Pooja; Kishaba, Kameron et al. (2018) Identification of the genetic determinants responsible for retinal degeneration in families of Mexican descent. Ophthalmic Genet 39:73-79
Murata, Hiroshi; Zangwill, Linda M; Fujino, Yuri et al. (2018) Validating Variational Bayes Linear Regression Method With Multi-Central Datasets. Invest Ophthalmol Vis Sci 59:1897-1904
Shim, Myoung Sup; Kim, Keun-Young; Bu, Jung Hyun et al. (2018) Elevated intracellular cAMP exacerbates vulnerability to oxidative stress in optic nerve head astrocytes. Cell Death Dis 9:285

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