19 December 2016 In vivo super-resolution retinal imaging through virtually structured detection
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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.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
Changgeng Liu, Changgeng Liu, Yanan Zhi, Yanan Zhi, Benquan Wang, Benquan Wang, Damber Thapa, Damber Thapa, Yanjun Chen, Yanjun Chen, Minhaj Alam, Minhaj Alam, Yiming Lu, Yiming Lu, Xincheng Yao, Xincheng Yao, } "In vivo super-resolution retinal imaging through virtually structured detection," Journal of Biomedical Optics 21(12), 120502 (19 December 2016). https://doi.org/10.1117/1.JBO.21.12.120502 . Submission: Received: 30 September 2016; Accepted: 28 November 2016
Received: 30 September 2016; Accepted: 28 November 2016; Published: 19 December 2016
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