Nature Photonics 9, 440–443 (2015); published online 22 June 2015; corrected after print 10 September 2015.
The authors acknowledge that two highly relevant manuscripts should have been cited in this Letter:
Meitav, N. & Ribak, E. N. Improving retinal image resolution with iterative weighted shift-and-add. J. Opt. Soc. Am. A 28, 1395–1402 (2011)
Meitav, N. & Ribak, E. N. Estimation of the ocular point spread function by retina modeling. Opt Lett. 37, 1466–1468 (2012)
These manuscripts report progress towards in vivo high-resolution retinal imaging without using hardware-based adaptive optics by averaging out high-order, temporally changing aberrations, and by applying various image filters to the intensity of backscattered optical signals.
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Shemonski, N., South, F., Liu, YZ. et al. Addendum: Computational high-resolution optical imaging of the living human retina. Nature Photon 9, 702 (2015). https://doi.org/10.1038/nphoton.2015.184
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DOI: https://doi.org/10.1038/nphoton.2015.184