New methods to understand how retinal cells process visual information
Official title: Novel experimental and machine learning - assisted techniques to assess receptive field functionality in the retina
Funded at University of Colorado Denver · NIH-11041170 · Data updated 2026-11-12
This study is exploring how certain cells in the mouse eye send visual information to the brain, which could help us understand vision better and lead to new treatments for people with vision problems.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Colorado Denver NIH-funded |
| Lab location | 1 site (Aurora, UNITED STATES) |
| Project start | September 1, 2023 |
| Project end | January 31, 2027 |
| Funding year | 2025 |
| Award (this year) | $469,367 |
| NIH project number | 5R01EY035293-03 |
| Project ID | NIH-11041170 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research would include individuals with retinal disorders or those interested in advancements in vision science.
✕Less likely to help
Patients with conditions unrelated to retinal function or those who do not have access to the research location may not receive any benefit from this research.
What this research studies
This research investigates how different types of retinal ganglion cells (RGCs) in the mouse retina communicate visual information to the brain. By using advanced techniques like machine learning, electrophysiology, and imaging, the study aims to uncover the specific visual features that these cells detect. The goal is to create a detailed understanding of how these cells interact and process complex visual scenes, which could lead to breakthroughs in our understanding of vision. Patients may benefit from insights gained about retinal function and potential treatments for visual impairments.
Why it matters
Potential benefit: If successful, this research could lead to improved treatments for visual disorders by enhancing our understanding of retinal cell functionality.
How similar studies have gone: Other research has shown promise in using machine learning and advanced imaging techniques to study neural circuits, suggesting that this approach could yield valuable insights.
Where this research is happening
-
University of Colorado Denver
Aurora, United States Active
Researchers
- Principal investigator: Poleg-Polsky, Alon — University of Colorado Denver
- Study coordinator: Poleg-Polsky, Alon
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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.