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5 March 2021 Virtually structured detection for super-resolution ophthalmoscopy of human photoreceptors
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High-resolution ophthalmic imaging is imperative for detecting subtle changes of photoreceptor abnormality at the early stage of retinal diseases. However, optical resolution in retinal imaging is inherently limited by the low numerical aperture of the ocular optics. Virtually structured detection (VSD) has been demonstrated to break the diffraction limit of imaging systems by shifting the high-frequency components to the passing bandwidth of the imaging system. However, its implementation for human subjects remains a challenge due to the uncertain cut-off frequency of the modulation transfer function (MTF) required for VSD processing. This study demonstrates an objective method to derive the MTF from spectral profiles, enabling quantitative estimation of the optimal cut-off frequency. A custom-built line-scan scanning laser ophthalmoscopy was developed, and two-dimensional line-profile patterns were acquired at a 25 kHz frame rate. We found that the MTF profiles exhibited significant differences between subjects as well as view fields. VSD-based super-resolution images exhibited improved resolution and contrast to differentiate individual photoreceptors compared to the equivalent wide-field imaging. Besides, the motility process on the VSD image further improved the image quality as the photoreceptors revealed clear boundaries and more integrated shape, compared to that in the VSD image. We anticipate that the VSD-based imaging will provide a simple, low-cost, and phase-artifact-free strategy to achieve super-resolution retinal ophthalmoscopy.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tae-Hoon Kim, Yiming Lu, Taeyoon Son, David Le, and Xincheng Yao "Virtually structured detection for super-resolution ophthalmoscopy of human photoreceptors", Proc. SPIE 11623, Ophthalmic Technologies XXXI, 116231G (5 March 2021);

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