ArticleTranslational vision science & technology2015
Quantitative Analysis of Mouse Retinal Layers Using Automated Segmentation of Spectral Domain Optical Coherence Tomography Images.
Article in Translational vision science & technology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
62 citing papers in PubMed, 93 citations in OpenAlex.
- The choroidal macrophage polarization significantly influences myopia development in murine models.iScience · 2026Article
- One year of hyperglycemia in the Ins2Akita mouse does not impart changes in retinal vascular patterning.PloS one · 2026Article
- Targeting RPE Senescence Via Suppressing IL-6/IL-6R Signaling for Treating Retinal Degenerative Diseases.Investigative ophthalmology & visual science · 2025Article
- Peptide Lv Deficiency Adversely Impacts the Structural and Functional Integrity of the Neural Retina.Investigative ophthalmology & visual science · 2025Article
- Testosterone promotes photoreceptor degeneration in the sodium iodate model.Experimental eye research · 2025Article
- Characterization of the Retinal Circulation of the Mouse.Investigative ophthalmology & visual science · 2024Article
- Age-Related Retinal Layer Thickness Changes Measured by OCT inInternational journal of molecular sciences · 2024Article
- Article
- Article
- OCT Imaging in Murine Models of Alzheimer's Disease in a Systematic Review: Findings, Methodology and Future Perspectives.Biomedicines · 2024Review
- Mitochondrially Targeted Gene Therapy Rescues Visual Loss in a Mouse Model of Leber's Hereditary Optic Neuropathy.International journal of molecular sciences · 2023Article
- Sufficient Cav-1 levels in the endothelium are critical for the maintenance of the neurovascular unit in the retina.Molecular medicine (Cambridge, Mass.) · 2023Article
- Chimpanzee adenovirus-mediated multiple gene therapy for age-related macular degeneration.iScience · 2023Article
- Modeling MOG Antibody-Associated Disorder and Neuromyelitis Optica Spectrum Disorder in Animal Models: Visual System Manifestations.Neurology(R) neuroimmunology & neuroinflammation · 2023Article
- Durable 3D murine ex vivo retina glaucoma models for optical coherence tomography.Biomedical optics express · 2023Article
- Article
- Oxygen profiles and oxygen consumption in the isolated mouse retina.Experimental eye research · 2023Article
- High-Resolution Optical Coherence Tomography in Healthy Individuals Provides Resolution at the Cellular and Subcellular Levels.Translational vision science & technology · 2023Observational
- A machine learning framework for the quantification of experimental uveitis in murine OCT.Biomedical optics express · 2023Article
- Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeQuantification of retinal layers using automated segmentation of optical coherence tomography (OCT) images allows for longitudinal studies of retinal and neurological disorders in mice. The purpose of this study was to compare the performance of automated retinal layer segmentation algorithms with data from manual segmentation in mice using the Spectralis OCT.
methodsSpectral domain OCT images from 55 mice from three different mouse strains were analyzed in total. The OCT scans from 22 C57Bl/6, 22 BALBc, and 11 C3A.Cg-
resultsFully automated segmentation performed well in mice and showed coefficients of variation (CV) of below 5% for the total retinal volume. However, all three automated segmentation algorithms yielded much thicker total retinal thickness values compared to manual segmentation data (
conclusionsWhereas the automated retinal segmentation algorithms performed well for the inner layers, the retinal pigmentation epithelium (RPE) was delineated within the sclera, leading to consistently thicker measurements of the photoreceptor layer and the total retina. TRANSLATIONAL RELEVANCE: The introduction of spectral domain OCT allows for accurate imaging of the mouse retina. Exact quantification of retinal layer thicknesses in mice is important to study layers of interest under various pathological conditions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.