Investigating airway cells using advanced imaging techniques
Official title: High-throughput Phenotyping of iPSC-derived Airway Epithelium by Multiscale Machine Learning Microscopy
Funded at Boston Children's Hospital · NIH-11095726 · Data updated 2026-11-12
This study is exploring different types of cells in the airways to help improve how we diagnose and treat breathing problems, using a new imaging technology that takes detailed pictures of live cells to see how they work and change over time.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Boston Children's Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | April 1, 2023 |
| Project end | February 28, 2027 |
| Funding year | 2025 |
| Award (this year) | $702,271 |
| NIH project number | 5R01HL163513-03 |
| Project ID | NIH-11095726 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals with respiratory conditions or those interested in the cellular mechanisms of airway diseases.
✕Less likely to help
Patients without respiratory issues or those not interested in cellular biology may not benefit from this research.
What this research studies
This research focuses on understanding the diverse types of cells in the airway epithelium, which is crucial for diagnosing and treating respiratory diseases. It aims to develop a new imaging platform called Multiscale Machine-learning Microscopy (M3) that combines advanced microscopy techniques with deep learning to analyze live cells on a large scale. By capturing detailed images of these cells, the research seeks to uncover their functional differences and behaviors over time, providing insights that traditional methods may miss.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostic tools and treatment strategies for respiratory diseases by enhancing our understanding of airway cell functions.
How similar studies have gone: Other research has shown promise in using advanced imaging techniques and machine learning for cellular analysis, suggesting a strong potential for success in this novel approach.
Where this research is happening
-
Boston Children's Hospital
Boston, United States Active
Researchers
- Principal investigator: Lee, Kwonmoo — Boston Children's Hospital
- Study coordinator: Lee, Kwonmoo
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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.