2015
DOI: 10.1167/tvst.4.4.9
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Quantitative Analysis of Mouse Retinal Layers Using Automated Segmentation of Spectral Domain Optical Coherence Tomography Images

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Cited by 79 publications
(86 citation statements)
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“…This result supports previous studies, which have shown that macular inner retinal thicknesses were proportional to loss of peripapillary RNFL thickness and degree of glaucoma 18–23 .…”
Section: Discussionsupporting
confidence: 93%
“…This result supports previous studies, which have shown that macular inner retinal thicknesses were proportional to loss of peripapillary RNFL thickness and degree of glaucoma 18–23 .…”
Section: Discussionsupporting
confidence: 93%
“…54 Obviously, differences in routes of drug administration (intravitreal injection in chickens and intraperitoneal injection in our study) lead to different drug distributions within the retina. During FDM development, the unchanged dopamine level in mice 12,13,36 is also different from the reduced dopamine level in chickens. 6,11 However, with respect to the active status of dopamine receptors, which is the most important point while considering the receptor mechanism of APO activity, genetic KO provides an alternative approach that is much more complete and persistent than pharmacologic intervention.…”
Section: D1r-dependent Mechanism Of Apomorphine In Myopiamentioning
confidence: 86%
“…The thickness of individual retinal layers was quantified using a standard Early Treatment Diabetic Retinopathy Study grid, which was centered manually on the ONH. 36 Mean values of the outer ring (corresponding to a distance of 600 lm from the center of the ONH, approximately 178) were analyzed by an experienced annotator using the Heidelberg system. The measurements included thicknesses of the retinal nerve fiber layer (RNFL), ganglion cell layer to inner plexiform layer (GCLþIPL), inner nuclear layer to outer plexiform layer (INLþOPL), outer nuclear layer (ONL), photoreceptor layer (PR), and total retinal thickness.…”
Section: Retinal Layer Thickness Measurementsmentioning
confidence: 99%
“…The automated retinal segmentation algorithm adopted by SD-OCT (SPECTRALIS, Heidelberg Engineering, Germany) has been used on mice. [13] However, to our knowledge, this study is the first report to differentiate the OPL and ONL layers automatically by the OCT program itself, and carry out segmentation with thickness and volume into 9 retinal layers in human. In several previous studies, the thicknesses of the RNFL, GCL, IPL, and INL were so thin that they could not be reliably measured, [14] and the segmentation of the macular layer into 6 or 7 retinal layers (OPL+ONL as 1 or lack of an RPE layer), rather than 9 individual layers, was performed.…”
Section: Discussionmentioning
confidence: 99%