Tracking living cells in low-frame-rate videos using movement predictions
Official title: Cell tracking in low-frame-rate video based on displacement prediction
Funded at Clemson University · NIH-10915409 · Data updated 2026-11-12
This study is working on better ways to follow the movement of living cells in videos, which is important for scientists studying cells and their behavior, and it aims to do this while using less frequent imaging to protect the cells from damage.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Clemson University NIH-funded |
| Lab location | 1 site (Clemson, United States) |
| Project start | September 1, 2023 |
| Project end | August 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $177,197 |
| NIH project number | 5R21GM150066-02 |
| Project ID | NIH-10915409 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals involved in studies related to cell biology, biochemistry, or genetics, particularly those requiring live-cell imaging.
✕Less likely to help
Patients with conditions unrelated to cellular behavior or those not participating in relevant scientific studies may not benefit from this research.
What this research studies
This research focuses on improving the tracking of living cells in video sequences, which is crucial for various scientific fields such as biochemistry and cell biology. The project aims to develop new methods that predict cell movement rather than relying solely on visual similarity, which can be challenging at lower frame rates. By reducing the frequency of imaging, the study seeks to minimize cell damage while still accurately tracking their movements over time. This approach could enhance the efficiency of large-scale cell analysis and treatment studies.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and less harmful methods for tracking cell behavior, benefiting various biomedical applications.
How similar studies have gone: While the approach of predicting cell movement is innovative, similar methodologies in high-frame-rate imaging have shown promise, indicating potential for success in this novel application.
Where this research is happening
-
Clemson University
Clemson, United States Active
Researchers
- Principal investigator: Iuricich, Federico — Clemson University
- Study coordinator: Iuricich, Federico
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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.