Assessing mouse retinal vision with AI and precise recordings
Official title: Assessment of murine retinal acuity ex vivo by machine learning of multielectrode array recordings
Funded at Upstate Medical University · NIH-11345129 · Data updated 2026-11-12
A scientist plans to use advanced brain recordings in mice and machine learning to test how well vision restoration methods might work.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Upstate Medical University NIH-funded |
| Lab location | 1 site (Syracuse, United States) |
| Project start | September 1, 2020 |
| Project end | April 30, 2027 |
| Funding year | 2026 |
| Award (this year) | $248,391 |
| NIH project number | 5R00EY031333-05 |
| Project ID | NIH-11345129 on NIH RePORTER |
Who could benefit from this research
✓Could help
Not applicable at this stage; preclinical mouse studies.
✕Less likely to help
No direct benefit to patients yet; findings are in animals.
What this research studies
This project aims to develop and test a new way to measure retinal function in mice using high-density recordings and artificial intelligence. By training models on multielectrode array data, the team hopes to better understand how different restoration techniques could improve vision. The findings could help guide future steps toward effective vision-restoring therapies for people with blindness.
Why it matters
Potential benefit: If successful, this work could streamline the development of retinal therapies that restore vision.
How similar studies have gone: Previous work shows machine learning can aid interpretation of retinal signals, with potential for translating to human therapies.
Where this research is happening
-
Upstate Medical University
Syracuse, United States Active
Researchers
- Principal investigator: Babino, Darwin — Upstate Medical University
- Study coordinator: Babino, Darwin
Related research
Other NIH-funded projects on the same topics.
-
How the left-right body axis forms during early development
This project explores how the left-right body axis is set up in early embryos, aiming to understand and prevent birth defects related to organ placement.
-
Unraveling how Ribosome Production Is Regulated in Human Cells
This grant explores how the enzyme that makes ribosomal RNA is put together and controlled, with potential connections to cancer and Treacher Collins Syndrome.
-
Defining immune markers predicting protection against dengue in a long-term family study in Thailand
This grant looks at how antibodies develop to protect against dengue in children from a long-running family cohort in Thailand, with the goal of identifying immune signs that predict protection across multiple dengue serotypes.
-
Understanding dengue protection in children from a long-term Thai family cohort
A long-term study in Thailand follows families to understand how early exposures to dengue shape protection and illness risk for children as they encounter the virus over time.
-
SLE treatment with N-acetylcysteine for lupus patients
This project tests whether N-acetylcysteine, a safe supplement, can help people with systemic lupus erythematosus by supporting the body's natural defenses and reducing disease activity.
-
Synaptopathy and CYLD in Frontotemporal Dementia (FTD)
A new NIH-funded project will look at how CYLD gene changes contribute to synapse problems in people with frontotemporal dementia.
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.