A computational approach to high-resolution imaging of the living human retina without hardware adaptive optics

Nathan D. Shemonski, Steven G. Adie, Yuan Zhi Liu, Fredrick A. South, P. S. Carney, Stephen A. Boppart

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Keywords

  • Adaptive optics
  • Computational adaptive optics
  • Deconvolution
  • Motion correction
  • Optical coherence tomography
  • Phase

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

Cite this

Shemonski, N. D., Adie, S. G., Liu, Y. Z., South, F. A., Carney, P. S., & Boppart, S. A. (2015). A computational approach to high-resolution imaging of the living human retina without hardware adaptive optics. In A. Ho, F. Manns, & P. G. Soderberg (Eds.), Ophthalmic Technologies XXV [930710] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9307). SPIE. https://doi.org/10.1117/12.2078308