- IMAGE ACQUISITION AND ANALYSIS MODULE The Image Acquisition and Analysis Module provides our Participating Faculty and their laboratory staff access to state-of-the-art equipment and technical support for highly sophisticated imaging and analyses. This equipment and support is essential for the success of numerous NEI-funded projects, and for new faculty to acquire critical preliminary data for R01 applications. Vision research projects involving imaging require expert knowledge of different acquisition methods; brightfield, darkfield, fluorescence, phase contrast and DIC microscopy as well as optical coherence tomography. Also required is understanding of the theory underlying the acquisition of the data, storage, transfer and interpretation of the data in order to to maintain the integrity of the data for ethical analysis and quantification. These latter aspects create a significant barrier to those with little experience in imaging but who wish to employ imaging-based methodologies in their vision research, and they can also hinder the progress of even the most experienced operator if the equipment is not well maintained. The Image Acquisition and Analysis Module provides the theoretical and practical training necessary to overcome the former of these barriers, and the technical expertise and care required to manage the complexities of equipment utilized for a variety of imaging modalities.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Center Core Grants (P30)
Project #
5P30EY008098-32
Application #
9921432
Study Section
Special Emphasis Panel (ZEY1)
Project Start
Project End
Budget Start
2020-04-01
Budget End
2021-03-31
Support Year
32
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of Pittsburgh
Department
Type
DUNS #
004514360
City
Pittsburgh
State
PA
Country
United States
Zip Code
15260
Kumar, Ajay; Xu, Yi; Yang, Enzhi et al. (2018) Stemness and Regenerative Potential of Corneal Stromal Stem Cells and Their Secretome After Long-Term Storage: Implications for Ocular Regeneration. Invest Ophthalmol Vis Sci 59:3728-3738
Dang, Yalong; Waxman, Susannah; Wang, Chao et al. (2018) A porcine ex vivo model of pigmentary glaucoma. Sci Rep 8:5468
Smalianchuk, Ivan; Jagadisan, Uday K; Gandhi, Neeraj J (2018) Instantaneous Midbrain Control of Saccade Velocity. J Neurosci 38:10156-10167
Brazile, Bryn L; Hua, Yi; Jan, Ning-Jiun et al. (2018) Thin Lamina Cribrosa Beams Have Different Collagen Microstructure Than Thick Beams. Invest Ophthalmol Vis Sci 59:4653-4661
Hua, Yi; Voorhees, Andrew P; Sigal, Ian A (2018) Cerebrospinal Fluid Pressure: Revisiting Factors Influencing Optic Nerve Head Biomechanics. Invest Ophthalmol Vis Sci 59:154-165
Syed-Picard, Fatima N; Du, Yiqin; Hertsenberg, Andrew J et al. (2018) Scaffold-free tissue engineering of functional corneal stromal tissue. J Tissue Eng Regen Med 12:59-69
Brothers, Kimberly M; Kowalski, Regis P; Tian, Shenghe et al. (2018) Bacteria induce autophagy in a human ocular surface cell line. Exp Eye Res 168:12-18
Waxman, Susannah; Loewen, Ralitsa T; Dang, Yalong et al. (2018) High-Resolution, Three-Dimensional Reconstruction of the Outflow Tract Demonstrates Segmental Differences in Cleared Eyes. Invest Ophthalmol Vis Sci 59:2371-2380
Voorhees, Andrew P; Jan, Ning-Jiun; Hua, Yi et al. (2018) Peripapillary sclera architecture revisited: A tangential fiber model and its biomechanical implications. Acta Biomater 79:113-122
Snyder, Adam C; Yu, Byron M; Smith, Matthew A (2018) Distinct population codes for attention in the absence and presence of visual stimulation. Nat Commun 9:4382

Showing the most recent 10 out of 647 publications