Abstract

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.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Center Core Grants (P30)
Project #
5P30EY022589-07
Application #
9769045
Study Section
Special Emphasis Panel (ZEY1)
Project Start
Project End
Budget Start
2019-07-01
Budget End
2020-06-30
Support Year
7
Fiscal Year
2019
Total Cost
Indirect Cost

  Institution

Name
University of California, San Diego
Department
Type
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093

  Publications

Meshi, Amit; Lin, Tiezhu; Dans, Kunny et al. (2018) COMPARISON OF RETINAL PATHOLOGY VISUALIZATION IN MULTISPECTRAL SCANNING LASER IMAGING. Retina :
Penteado, Rafaella C; Zangwill, Linda M; Daga, Fábio B et al. (2018) Optical Coherence Tomography Angiography Macular Vascular Density Measurements and the Central 10-2 Visual Field in Glaucoma. J Glaucoma 27:481-489
Ghahari, Elham; Bowd, Christopher; Zangwill, Linda M et al. (2018) Macular Vessel Density in Glaucomatous Eyes With Focal Lamina Cribrosa Defects. J Glaucoma 27:342-349
Kilic Muftuoglu, Ilkay; Bartsch, Dirk-Uwe; Barteselli, Giulio et al. (2018) VISUALIZATION OF MACULAR PUCKER BY MULTICOLOR SCANNING LASER IMAGING. Retina 38:352-358
Garg, Aakriti; De Moraes, C Gustavo; Cioffi, George A et al. (2018) Baseline 24-2 Central Visual Field Damage Is Predictive of Global Progressive Field Loss. Am J Ophthalmol 187:92-98
Chu, Fang-I; Marín-Franch, Iván; Ramezani, Koosha et al. (2018) Associations between structure and function are different in healthy and glaucomatous eyes. PLoS One 13:e0196814
Mitani, Akinori; Dong, Mingyuan; Komiyama, Takaki (2018) Brain-Computer Interface with Inhibitory Neurons Reveals Subtype-Specific Strategies. Curr Biol 28:77-83.e4
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

Showing the most recent 10 out of 266 publications