Using AI and advanced microscopy to analyze brain tumors at the cellular level
Official title: Single-cell optical phenotyping for diffuse gliomas using artificial intelligence and label-free microscopy
Funded at University of Michigan at Ann Arbor · NIH-11010347 · Data updated 2026-11-12
This study is exploring how artificial intelligence can help doctors better understand and treat brain tumors called diffuse gliomas by using a special imaging technique that captures detailed pictures of the tumor cells, which could lead to more accurate diagnoses and personalized treatment plans for patients.
Quick facts
| Grant type | Fellowship grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project start | January 1, 2024 |
| Project end | June 30, 2027 |
| Funding year | 2025 |
| Award (this year) | $42,099 |
| NIH project number | 5F31NS135973-02 |
| Project ID | NIH-11010347 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with diffuse gliomas who are undergoing surgical procedures.
✕Less likely to help
Patients with other types of brain tumors or those not undergoing surgery may not benefit from this research.
What this research studies
This research investigates how artificial intelligence can enhance the analysis of brain tumors, specifically diffuse gliomas, by utilizing a technique called stimulated Raman histology (SRH). The approach focuses on capturing detailed images of individual cells within tumor specimens without the need for labels or dyes. By training AI models on these high-resolution images, the research aims to improve the understanding of tumor biology and potentially aid in more accurate diagnoses and treatment planning. Patients may benefit from more precise tumor characterization and tailored therapies based on their unique tumor profiles.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and personalized treatment options for patients with diffuse gliomas.
How similar studies have gone: Previous research has shown promise in using AI and optical imaging techniques for tumor analysis, indicating potential success for this novel approach.
Where this research is happening
-
University of Michigan at Ann Arbor
Ann Arbor, United States Active
Researchers
- Principal investigator: Jiang, Cheng — University of Michigan at Ann Arbor
- Study coordinator: Jiang, Cheng
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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.