Measuring blood flow in the eye to assess glaucoma
Official title: Ocular Blood Flow Imaging for Glaucoma Assessment
Funded at Vasoptic Medical, INC. · NIH-10617379 · Data updated 2026-11-12
This study is looking at a new imaging tool called XyCAM RI to see how it can help doctors understand blood flow in the eyes of people with glaucoma, especially those who are very nearsighted, so they can improve how glaucoma is diagnosed and treated.
Quick facts
| Grant type | Sbir 2 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Vasoptic Medical, INC. NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project start | May 3, 2022 |
| Project end | April 30, 2026 |
| Funding year | 2023 |
| Award (this year) | $874,997 |
| NIH project number | 5R44EY034064-02 |
| Project ID | NIH-10617379 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include adults diagnosed with glaucoma or those at risk, particularly individuals with high myopia.
✕Less likely to help
Patients with conditions unrelated to glaucoma or those who do not have measurable ocular blood flow may not benefit from this research.
What this research studies
This research investigates the use of a new imaging technology called XyCAM RI to measure ocular blood flow, which may provide additional insights into glaucoma diagnosis and management. By comparing blood flow patterns in individuals with glaucoma to those without, the study aims to validate the effectiveness of this method, particularly in patients with high myopia. The research will involve a clinical study with carefully matched participants to ensure accurate results. If successful, this approach could enhance current diagnostic practices for glaucoma.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostic tools for glaucoma, potentially preventing vision loss in patients.
How similar studies have gone: Previous research has shown promising results using similar imaging techniques for assessing ocular conditions, indicating potential for success in this approach.
Where this research is happening
-
Vasoptic Medical, INC.
Baltimore, United States Active
Researchers
- Principal investigator: Rege, Abhishek — Vasoptic Medical, INC.
- Study coordinator: Rege, Abhishek
Related research
Other NIH-funded projects on the same topics.
-
IOP and CSF Pressure in Glaucoma Risk
This grant studies how eye pressure and cerebrospinal fluid pressure together influence glaucoma risk and vision loss.
-
Comparing tube positions in glaucoma implants to protect corneal cells
This trial compares two tube placements for glaucoma drainage implants to see which better protects corneal cells and controls eye pressure in people with uncontrolled glaucoma.
-
Automated topographic test for glaucoma detection and progression
A new automated method uses topographic structure-function mapping to help diagnose glaucoma earlier and track its progression in patients.
-
Using AI on eye scans and genes to predict glaucoma risk
This project uses artificial intelligence on eye scans, vision tests, and genetic information to find people most likely to develop or have worsening glaucoma.
-
AI-based glaucoma screening in community health centers
A new, easy-to-use AI screening approach will be tested in federally funded health centers to help identify people at risk for glaucoma, especially in communities with higher risk.
-
Understanding how glaucoma genes control eye cell function
A long-term research project will study how genetic factors affect eye cells in adults with glaucoma to uncover new ideas for protecting vision.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.