Using robotic technology to improve eye imaging for better detection of retinal diseases
Robotic OCT for automated mapping of outer retinal layer thicknesses
This study is testing a new robot that takes detailed pictures of the layers in your retina to help doctors spot early signs of eye problems like diabetic retinopathy, making it easier for patients to get the care they need without any discomfort.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project ID | NIH-10811072 on NIH RePORTER |
What this research studies
This research focuses on developing a new robotic optical coherence tomography (OCT) system that can automatically measure the thickness of outer retinal layers, which is crucial for diagnosing conditions like diabetic retinopathy. By utilizing advanced imaging techniques, the study aims to identify changes in retinal biomarkers that are currently undetectable with standard OCT devices. The goal is to enhance the understanding of retinal degeneration and improve early detection of vision-threatening diseases. Patients will benefit from a non-invasive method that provides detailed insights into their retinal health.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals with diabetes or those at risk of developing diabetic retinopathy.
Not a fit: Patients without diabetes or those who do not have retinal diseases may not receive any benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier diagnosis and better management of retinal diseases, potentially preventing vision loss.
How similar studies have performed: Previous studies have shown promise in using advanced imaging techniques for retinal analysis, indicating potential success for this novel approach.
Where this research is happening
Durham, United States
- Duke University — Durham, United States (Active)
Researchers
- Principal investigator: Toth, Cynthia Ann — Duke University
- Study coordinator: Toth, Cynthia Ann
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 below.