ArticlePeerJ2016
FOVEA: a new program to standardize the measurement of foveal pit morphology.
Article in PeerJ, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Wide-based foveal pit: a predisposition to idiopathic epiretinal membrane.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2021Article
- Inter-individual differences in foveal shape in a scavenging raptor, the black kite Milvus migrans.Scientific reports · 2020Article
- Shape Decomposition of Foveal Pit Morphology using Scan Geometry Corrected OCT.Ophthalmic medical image analysis : 6th International Workshop, OMIA 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 17, Proceedings. OMIA (Workshop) (6th : 2019 : Shenzhen Shi, China) · 2019Article
- Direct modeling of foveal pit morphology from distortion-corrected OCT images.Biomedical optics express · 2019Article
- A sloped piecemeal Gaussian model for characterising foveal pit shape.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2016Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The fovea is one of the most studied retinal specializations in vertebrates, which consists of an invagination of the retinal tissue with high packing of cone photoreceptors, leading to high visual resolution. Between species, foveae differ morphologically in the depth and width of the foveal pit and the steepness of the foveal walls, which could influence visual perception. However, there is no standardized methodology to measure the contour of the foveal pit across species. We present here FOVEA, a program for the quantification of foveal parameters (width, depth, slope of foveal pit) using images from histological cross-sections or optical coherence tomography (OCT). FOVEA is based on a new algorithm to detect the inner retina contour based on the color variation of the image. We evaluated FOVEA by comparing the fovea morphology of two Passerine birds based on histological cross-sections and its performance with data from previously published OCT images. FOVEA detected differences between species and its output was not significantly different from previous estimates using OCT software. FOVEA can be used for comparative studies to better understand the evolution of the fovea morphology in vertebrates as well as for diagnostic purposes in veterinary pathology. FOVEA is freely available for academic use and can be downloaded at: http://estebanfj.bio.purdue.edu/fovea.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.