A Three-dimensional Analytical Framework for Retinal Microvasculature Reveals Layer-associated Vulnerability in...

Area of Science:

• Ophthalmology
• Neuroscience
• Biomedical Engineering

Background:

• The retina is a metabolically active CNS extension, ideal for studying neurovascular development.
• Current 2D imaging limits detailed analysis of retinal microvasculature and layer-specific organization.
• Computational retinal image analysis aids disease risk assessment but lacks high-resolution vascular detail.

Purpose of the Study:

• To develop and validate a high-resolution 3D imaging and analysis pipeline for retinal microvasculature.
• To quantify structural and network metrics across retinal vascular layers.
• To characterize aberrant retinal vascular development in mouse models.

Main Methods:

• Developed a high-resolution 3D imaging pipeline for retinal microvasculature.
• Applied the pipeline to mouse models with spontaneous neovascularization and disrupted neurovascular development.
• Extracted structural and network metrics across vascular layers, focusing on the intermediate layer plexus (IMP).

Main Results:

• The 3D pipeline enabled detailed characterization of retinal vascular architecture.
• Identified early vulnerability of the IMP in both pathologic contexts.
• Demonstrated the IMP as a sensitive indicator of abnormal remodeling and neovascularization.

Conclusions:

• High-resolution 3D retinal imaging provides precise characterization of microvasculature.
• The IMP is a sensitive biomarker for early detection of aberrant retinal vascular development.
• This framework supports the identification of novel retinal biomarkers for neurovascular and systemic diseases.