JBO Letters

In vivo super-resolution retinal imaging through virtually structured detection

[+] Author Affiliations
Changgeng Liu, Yanan Zhi, Benquan Wang, Damber Thapa, Yanjun Chen, Minhaj Alam, Yiming Lu

University of Illinois at Chicago, Department of Bioengineering, 851 South Morgen Street, Chicago, Illinois 60607, United States

Xincheng Yao

University of Illinois at Chicago, Department of Bioengineering, 851 South Morgen Street, Chicago, Illinois 60607, United States

University of Illinois at Chicago, Department of Ophthalmology and Visual Sciences, 1905 West Taylor Street, Chicago, Illinois 60612, United States

J. Biomed. Opt. 21(12), 120502 (Dec 19, 2016). doi:10.1117/1.JBO.21.12.120502
History: Received September 30, 2016; Accepted November 28, 2016
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Abstract.  High resolution is important for sensitive detection of subtle distortions of retinal morphology at an early stage of eye diseases. We demonstrate virtually structured detection (VSD) as a feasible method to achieve in vivo super-resolution ophthalmoscopy. A line-scanning strategy was employed to achieve a super-resolution imaging speed up to 127  frames/s with a frame size of 512×512  pixels. The proof-of-concept experiment was performed on anesthetized frogs. VSD-based super-resolution images reveal individual photoreceptors and nerve fiber bundles unambiguously. Both image contrast and signal-to-noise ratio are significantly improved due to the VSD implementation.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Changgeng Liu ; Yanan Zhi ; Benquan Wang ; Damber Thapa ; Yanjun Chen, et al.
"In vivo super-resolution retinal imaging through virtually structured detection", J. Biomed. Opt. 21(12), 120502 (Dec 19, 2016). ; http://dx.doi.org/10.1117/1.JBO.21.12.120502


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