Johnny Tam, Ph.D.
Clinical and Translational Imaging Unit
Building 10, Room 10N109
10 Center Drive
Bethesda, MD 20892-1860
The approach is to visualize healthy and diseased cells directly inside patients’ eyes to determine the sequence and timing of all the cumulative microscopic changes that give rise to clinically-significant disease phenotypes. Our research spans the development, implementation, and application of advanced optical instrumentation, as well as the acquisition, processing, and analysis of rich imaging datasets. We are particularly interested in studying the outer retina, consisting of photoreceptor neurons, retinal pigment epithelial cells, and choriocapillaris blood vessels. This multi-layered complex is not only critical for the phenomenon of vision, but also, is a useful system for modeling the in vivo interactions of neurons, epithelial cells, and vasculature within the central nervous system, in health, aging, and disease.
Tam J, Liu J, Dubra A, Fariss R. In Vivo Imaging of the Human Retinal Pigment Epithelial Mosaic Using Adaptive Optics Enhanced Indocyanine Green Ophthalmoscopy. Invest Ophthalmol Vis Sci. 2016;57(10):4376-84.
Liu J, Jung H, Dubra A, Tam J. Automated Photoreceptor Cell Identification on Nonconfocal Adaptive Optics Images Using Multiscale Circular Voting. Invest Ophthalmol Vis Sci. 2017;58(11):4477-4489.
Liu J, Jung H, Tam J. Accurate Correspondence of Cone Photoreceptor Neurons in the Human Eye Using Graph Matching Applied to Longitudinal Adaptive Optics Images. Med Image Comput Comput Assist Interv. 2017;10434:153-161.
Liu T, Jung H, Liu J, Droettboom M, Tam J. Noninvasive near infrared autofluorescence imaging of retinal pigment epithelial cells in the human retina using adaptive optics. Biomed Opt Express. 2017;8(10):4348-4360.
Related Scientific Focus Areas
Biomedical Engineering and Biophysics
Genetics and Genomics
This page was last updated on March 20th, 2019