Automated Assessment of Photoreceptor Visibility in Adaptive Optics Split-Detection Images Using Edge Detection.

Chen M, Jiang YY, Gee JC, Brainard DH, Morgan JIW

DOI: 10.1167/tvst.11.5.25
Published: 2022 May 2
Container: Translational vision science & technology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1167/tvst.11.5.25,
  title = {Automated Assessment of Photoreceptor Visibility in Adaptive Optics Split-Detection Images Using Edge Detection.},
  author = {Chen M and Jiang YY and Gee JC and Brainard DH and Morgan JIW},
  year = {2022},
  journal = {Translational vision science \& technology},
  doi = {10.1167/tvst.11.5.25},
  url = {https://doi.org/10.1167/tvst.11.5.25}
}

RIS

TY  - JOUR
TI  - Automated Assessment of Photoreceptor Visibility in Adaptive Optics Split-Detection Images Using Edge Detection.
AU  - Chen M
AU  - Jiang YY
AU  - Gee JC
AU  - Brainard DH
AU  - Morgan JIW
PY  - 2022
JO  - Translational vision science & technology
DO  - 10.1167/tvst.11.5.25
UR  - https://doi.org/10.1167/tvst.11.5.25
ER  -

APA

M, C., YY, J., JC, G., DH, B., & JIW, M. (2022). Automated Assessment of Photoreceptor Visibility in Adaptive Optics Split-Detection Images Using Edge Detection.. Translational vision science & technology. https://doi.org/10.1167/tvst.11.5.25

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pubmed · retrieved 2026-09-27T15:02:18.243Z