1. In vivo super-resolution retinal imaging through virtually structured detection.
- Author
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Changgeng Liu, Yanan Zhi, Benquan Wang, Damber Thapa, Yanjun Chen, Minhaj Alam, Yiming Lu, and Xincheng Yao
- Subjects
- *
RETINAL imaging , *OPHTHALMOSCOPY , *HIGH resolution imaging , *SIGNAL-to-noise ratio ,DIAGNOSIS of eye diseases - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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