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, Yanan Zhi, Benquan Wang, Damber Thapa, Yanjun Chen, Minhaj Alam, Yiming Lu, 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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