ArticleVisual neuroscience2016
Methods for investigating the local spatial anisotropy and the preferred orientation of cones in adaptive optics retinal images.
Article in Visual neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Twenty-five years of clinical applications using adaptive optics ophthalmoscopy [Invited].Biomedical optics express · 2023Review
- Challenges in Age-Related Macular Degeneration: From Risk Factors to Novel Diagnostics and Prevention Strategies.Frontiers in medicine · 2022Review
- The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques.Frontiers in medicine · 2022Review
- Emulated retinal image capture (ERICA) to test, train and validate processing of retinal images.Scientific reports · 2021Article
- Adaptive optics: principles and applications in ophthalmology.Eye (London, England) · 2021Review
- Noninvasive imaging of the tree shrew eye: Wavefront analysis and retinal imaging with correlative histology.Experimental eye research · 2019Article
- Adaptive optics imaging of inherited retinal diseases.The British journal of ophthalmology · 2018Review
- Unsupervised identification of cone photoreceptors in non-confocal adaptive optics scanning light ophthalmoscope images.Biomedical optics express · 2017Article
- Photoreceptor-Based Biomarkers in AOSLO Retinal Imaging.Investigative ophthalmology & visual science · 2017Review
- An Automated Reference Frame Selection (ARFS) Algorithm for Cone Imaging with Adaptive Optics Scanning Light Ophthalmoscopy.Translational vision science & technology · 2017Article
- Retinal Vascular Diseases Highlighted by Adaptive Optics Ophthalmoscopy.Romanian journal of ophthalmologyArticle
- Retinal Vascular Diseases Highlighted by Adaptive Optics Ophthalmoscopy.Romanian journal of ophthalmologyArticle
- Adaptive Optics Imaging in Diabetic Retinopathy: A Comprehensive Review.Romanian journal of ophthalmologyReview
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The ability to noninvasively image the cone photoreceptor mosaic holds significant potential as a diagnostic for retinal disease. Central to the realization of this potential is the development of sensitive metrics for characterizing the organization of the mosaic. Here we evaluated previously-described and newly-developed (Fourier- and Radon-based) methods of measuring cone orientation in simulated and real images of the parafoveal cone mosaic. The proposed algorithms correlated well across both simulated and real mosaics, suggesting that each algorithm provides an accurate description of photoreceptor orientation. Despite high agreement between algorithms, each performed differently in response to image intensity variation and cone coordinate jitter. The integration property of the Fourier transform allowed the Fourier-based method to be resistant to cone coordinate jitter and perform the most robustly of all three algorithms. Conversely, when there is good image quality but unreliable cone identification, the Radon algorithm performed best. Finally, in cases where the cone coordinate reliability was excellent, the method previously described by Pum and colleagues performed best. These descriptors are complementary to conventional descriptive metrics of the cone mosaic, such as cell density and spacing, and have the potential to aid in the detection of photoreceptor pathology.
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Registered trials
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