2012
DOI: 10.1167/iovs.12-9611
|View full text |Cite
|
Sign up to set email alerts
|

Long-Term Characterization of Retinal Degeneration inrd1andrd10Mice Using Spectral Domain Optical Coherence Tomography

Abstract: SD-OCT provides a non-invasive method of following long-term retinal changes in mice in vivo. Although rd10 and rd1 mice have mutations in the same gene, they demonstrate significantly different features on SD-OCT.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

5
117
2

Year Published

2014
2014
2023
2023

Publication Types

Select...
4
3
2

Relationship

0
9

Authors

Journals

citations
Cited by 124 publications
(124 citation statements)
references
References 44 publications
5
117
2
Order By: Relevance
“…Some graph-based methods for segmentation of retinal layers of SD-OCT using the Bioptigen (Bioptigen, Inc., Morrisville, NC, USA) scanner designed for OCT imaging in mice and rats have been published. 22,27 Previous studies, including those of Antony BJ et al 22 and Pennesi ME et al 28 have applied retinal layer segmentation in diabetic mice and in mouse models of retinal degeneration, respectively, using the Bioptigen OCT system. They reported good accuracy and reproducibility of their OCT segmentation algorithms suited to observe changes of retinal thickness over time.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Some graph-based methods for segmentation of retinal layers of SD-OCT using the Bioptigen (Bioptigen, Inc., Morrisville, NC, USA) scanner designed for OCT imaging in mice and rats have been published. 22,27 Previous studies, including those of Antony BJ et al 22 and Pennesi ME et al 28 have applied retinal layer segmentation in diabetic mice and in mouse models of retinal degeneration, respectively, using the Bioptigen OCT system. They reported good accuracy and reproducibility of their OCT segmentation algorithms suited to observe changes of retinal thickness over time.…”
Section: Discussionmentioning
confidence: 99%
“…They reported good accuracy and reproducibility of their OCT segmentation algorithms suited to observe changes of retinal thickness over time. 22,28 However, as major efforts are made to improve segmentation in OCT devices for human use the same equipment frequently is used for imaging mice in eye research. 12,29 In the end, such commercially available SD-OCT may allow for in vivo structural data on mouse models of retinal disease.…”
Section: Discussionmentioning
confidence: 99%
“…With the increasing use of spectral-domain optical coherence tomography (SD-OCT) in studies involving mice [1][2][3][4], there is a great need for automated image segmentation approaches. As a starting point, Antony et al [5] as well as Srinivasan et al [6] used automatic methods to segment surfaces in mouse SD-OCT volumes.…”
Section: Introductionmentioning
confidence: 99%
“…[1][2][3][4] The normal ONL contains rod and cone photoreceptor nuclei throughout the retina with the exception of a rod-free zone approximately 350 lm in diameter, extending 100 to 200 lm from the foveal center, in which only cones are present; rods and cones are present in equal density at 400 to 500 lm from the foveal center, and rod nuclei predominate the ONL at locations eccentric to 500 lm. 5 Noninvasive studies in which SD-OCT measures of retinal thickness are compared to en face images of cone photoreceptors in human subjects have not shown consistent correlations between ONL thickness and cone density values, perhaps because rod and cone photoreceptor nuclei contribute to ONL thickness, while cone photoreceptors are most readily imaged noninvasively using en face, adaptive optics (AO) techniques.…”
mentioning
confidence: 99%