[HTML][HTML] Adaptive optics imaging of the human retina

SA Burns, AE Elsner, KA Sapoznik, RL Warner… - Progress in retinal and …, 2019 - Elsevier
Adaptive Optics (AO) retinal imaging has provided revolutionary tools to scientists and
clinicians for studying retinal structure and function in the living eye. From animal models to …

Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search

L Fang, D Cunefare, C Wang, RH Guymer… - Biomedical optics …, 2017 - opg.optica.org
We present a novel framework combining convolutional neural networks (CNN) and graph
search methods (termed as CNN-GS) for the automatic segmentation of nine layer …

Application of adaptive optics in ophthalmology

L Liu, Z Wu, M Qi, Y Li, M Zhang, D Liao, P Gao - Photonics, 2022 - mdpi.com
The eye, the photoreceptive organ used to perceive the external environment, is of great
importance to humans. It has been proven that some diseases in humans are accompanied …

Open source software for automatic detection of cone photoreceptors in adaptive optics ophthalmoscopy using convolutional neural networks

D Cunefare, L Fang, RF Cooper, A Dubra, J Carroll… - Scientific reports, 2017 - nature.com
Imaging with an adaptive optics scanning light ophthalmoscope (AOSLO) enables direct
visualization of the cone photoreceptor mosaic in the living human retina. Quantitative …

[HTML][HTML] An automated reference frame selection (ARFS) algorithm for cone imaging with adaptive optics scanning light ophthalmoscopy

AE Salmon, RF Cooper, CS Langlo… - … vision science & …, 2017 - iovs.arvojournals.org
Purpose: To develop an automated reference frame selection (ARFS) algorithm to replace
the subjective approach of manually selecting reference frames for processing adaptive …

Adaptive optics retinal imaging in CNGA3-associated achromatopsia: retinal characterization, interocular symmetry, and intrafamilial variability

M Georgiou, KM Litts, A Kalitzeos… - … & Visual Science, 2019 - iovs.arvojournals.org
Purpose: To investigate retinal structure in subjects with CNGA3-associated achromatopsia
and evaluate disease symmetry and intrafamilial variability. Methods: Thirty-eight …

Automatic cone photoreceptor localisation in healthy and Stargardt afflicted retinas using deep learning

B Davidson, A Kalitzeos, J Carroll, A Dubra… - Scientific reports, 2018 - nature.com
We present a robust deep learning framework for the automatic localisation of cone
photoreceptor cells in Adaptive Optics Scanning Light Ophthalmoscope (AOSLO) split …

Noninvasive imaging of the tree shrew eye: wavefront analysis and retinal imaging with correlative histology

BS Sajdak, AE Salmon, JA Cava, KP Allen… - Experimental eye …, 2019 - Elsevier
Tree shrews are small mammals with excellent vision and are closely related to primates.
They have been used extensively as a model for studying refractive development, myopia …

Photoreceptor-based biomarkers in AOSLO retinal imaging

KM Litts, RF Cooper, JL Duncan… - … ophthalmology & visual …, 2017 - iovs.arvojournals.org
Improved understanding of the mechanisms underlying inherited retinal degenerations has
created the possibility of developing much needed treatments for these relentless, blinding …

Deep learning based detection of cone photoreceptors with multimodal adaptive optics scanning light ophthalmoscope images of achromatopsia

D Cunefare, CS Langlo, EJ Patterson, S Blau… - Biomedical optics …, 2018 - opg.optica.org
Fast and reliable quantification of cone photoreceptors is a bottleneck in the clinical
utilization of adaptive optics scanning light ophthalmoscope (AOSLO) systems for the study …