Retinal Vessel Analysis
Retinal Vessel Analysis - Related Videos
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Transcriptomic Analysis of Human Retinal Surgical Specimens Using jouRNAl
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Cited by 6 •
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We used retinal samples from retinectomy for a transcriptomic analysis of retinal detachment. We developed a procedure that allows RNA conservation between the surgical blocks and the laboratory. We standardized a protocol to purify RNA by cesium chloride ultracentrifugation to assure that the purified RNAs are suitable for microarray analysis.
08:25
Analysis of Coronary Vessels in Cleared Embryonic Hearts
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We present a protocol for the analysis of coronary vessels in whole embryonic murine hearts up to E15.5, using standard immunological staining methods followed by optical clearance and confocal microscopy. This technique enables visualization of blood vessels throughout the entire heart without the need for time-consuming analysis of serial sections.
09:17
Using Retinal Imaging to Study Dementia
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Cited by 19 •
2017
The retina shares prominent similarities with the brain and thus represents a unique window to study vasculature and neuronal structure in the brain non-invasively. This protocol describes a method to study dementia using retinal imaging techniques. This method can potentially aid in diagnosis and risk assessment of dementia.
04:04
Measuring Retinal Vessel Diameter from Mouse Fluorescent Angiography Images
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Cited by 2 •
2023
Mouse retinal vasculature is particularly interesting in understanding the mechanisms of vascular pattern formation. This protocol automatically measures the diameter of mouse retinal vessels from fluorescent angiography fundus images at a fixed distance from the optic disk.
10:00
Techniques for Processing Eyes Implanted with a Retinal Prosthesis for Localized Histopathological Analysis: Part 2 Epiretinal Implants with Retinal Tacks
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Cited by 23 •
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Here we describe histological techniques for visualising ocular tissue directly adjacent to a metal epiretinal tack and retinal prosthesis.
FAQs
These measurements describe complementary aspects of retinal vascular structure and function. Vessel caliber reflects size, tortuosity captures curvature, branching characterizes network organization, density indicates the amount of vascular structure, and perfusion addresses blood flow within the imaged network. Examining them together can reveal disease-associated vascular changes more comprehensively than relying on a single measurement.
Retinal fundus photographs and optical coherence tomography angiography provide the imaging inputs for quantitative assessment, but they support analysis through different image types. The resulting data can be processed to segment vessels and evaluate structural features such as caliber or branching, while perfusion and density measurements can also be derived when supported by the imaging approach.
Segmentation algorithms identify the vessel network within retinal images so that measurements can be calculated systematically rather than described only by visual inspection. Standardized measurement procedures help make results more reproducible across imaging studies. This consistency strengthens comparisons between samples and supports the evaluation of retinal vascular features as research measurements or potential biomarkers.
A typical workflow begins with retinal imaging using fundus photography or optical coherence tomography angiography. The image is then processed to segment the vessels, after which quantitative features such as caliber, tortuosity, branching patterns, density, or perfusion are measured. Researchers can interpret these values alongside disease status, progression, or treatment information to investigate vascular change.
The approach is useful when investigators need noninvasive vascular indicators for studying diabetic retinopathy, hypertension, cardiovascular disease, or other disorders. Quantified retinal features can help researchers examine disease mechanisms, identify candidate biomarkers, and track how vascular characteristics change over time. Its value comes from connecting measurable retinal findings with broader questions about disease and treatment.
Repeated quantitative measurements can provide a structured way to assess retinal vascular changes during treatment studies and disease follow-up. Researchers may compare features such as vessel caliber, density, tortuosity, branching, or perfusion across time or between groups. Standardized results can improve reproducibility and support efforts to use retinal imaging in biomarker development and precision medicine.