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Updated: May 27, 2026

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Evaluation of Capillary and Other Vessel Contribution to Macular Perfusion Density Measured with Optical Coherence Tomography Angiography
Published on: February 18, 2022
The Trajectory of Retinal Microcirculation Imaging: From Angiography to Artificial Intelligence
Xiang Xu1, Weiqi Liu1, Haowen Li2
1Institute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College; International Center of Microvascular Medicine, Chinese Academy of Medical Sciences.
Journal of Visualized Experiments : Jove
|May 25, 2026
Summary
Non-invasive imaging techniques like optical coherence tomography angiography are revolutionizing eye care by directly visualizing retinal microvasculature. This advances early disease detection and personalized treatments in ophthalmology.
Area of Science:
- Ophthalmology
- Medical Imaging
- Vascular Biology
Background:
- Retinal and choroidal microcirculation are vital for vision and systemic health indicators.
- Traditional angiography is invasive and infers pathology indirectly.
- Non-invasive imaging offers direct visualization and quantification of microvasculature.
Purpose of the Study:
- To highlight the paradigm shift towards non-invasive imaging in ophthalmology.
- To showcase the capabilities of optical coherence tomography angiography (OCTA) and complementary techniques.
- To discuss the clinical applications and future potential of advanced ocular imaging.
Main Methods:
- Optical coherence tomography angiography (OCTA) for 3D mapping of perfused vessels.
- Complementary techniques assessing blood flow, hemodynamics, and cellular perfusion.
- Integration of multimodal data with artificial intelligence (AI).
Main Results:
- OCTA generates objective biomarkers for vascular integrity and ischemia.
- Advanced imaging facilitates preclinical detection of diabetic retinopathy.
- Refined therapeutic strategies for neovascular age-related macular degeneration and glaucoma insights.
Conclusions:
- Non-invasive imaging transforms clinical practice in ophthalmology.
- AI integration with multimodal data enables predictive disease models.
- Oculomics offers a data-driven approach to systemic health assessment via ocular biomarkers.
