pan-XLSM: an AI-powered 3D imaging platform to map molecular patterns in tissues
Official title: pan-XLSM: an AI-powered microscopy platform for imaging and analysis of highly expanded tissue samples
Funded at Panluminate INC. · NIH-11386488 · Data updated 2026-11-12
A grant to develop an automated, AI-driven 3D imaging system that can map where molecules are in tissue at very high resolution, with a focus on kidneys, liver, and brain.
Quick facts
| Grant type | Sbir 2 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Panluminate INC. NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project start | August 6, 2025 |
| Project end | June 30, 2027 |
| Funding year | 2026 |
| Award (this year) | $1,083,410 |
| NIH project number | 5R44GM159519-02 |
| Project ID | NIH-11386488 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates are patients whose tissues (e.g., kidney, liver, brain) could be studied in research settings to understand disease-related mitochondrial changes.
✕Less likely to help
Patients without access to tissue samples or who are not undergoing relevant procedures may not directly benefit.
What this research studies
This project aims to create a user-friendly, automated pipeline that combines an axially-swept light-sheet microscope with AI-based image analysis to map molecular markers in 3D tissue at nanoscale resolution. The goal is to reduce manual workload and data handling so researchers can visualize subcellular structures more clearly in three dimensions. By validating the technology on mitochondria morphology in key organs, it seeks to enable deeper insights into tissue biology and disease mechanisms.
Why it matters
Potential benefit: If successful, patients could benefit from faster, more accurate tissue analyses that inform diagnosis and treatment planning.
How similar studies have gone: Previous pan-Expansion Microscopy work showed high-resolution 3D imaging, and this project builds on that success with automation and AI analysis.
Where this research is happening
-
Panluminate INC.
New Haven, United States Active
Researchers
- Principal investigator: M'saad, Ons — Panluminate INC.
- Study coordinator: M'saad, Ons
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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.