Acquisition of advanced GPU server for biomedical imaging
Official title: Request for Dell PowerEdge XE9680 8x H100 NVIDIA GPU server
Funded at University of Pittsburgh at Pittsburgh · NIH-11100381 · Data updated 2026-11-12
This study is all about getting a super-fast computer to help scientists at the University of Pittsburgh better analyze images of biological samples, making it easier for them to understand complex data and improve their research in health and medicine.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pittsburgh at Pittsburgh NIH-funded |
| Lab location | 1 site (Pittsburgh, United States) |
| Project start | May 15, 2025 |
| Project end | May 14, 2026 |
| Funding year | 2025 |
| Award (this year) | $324,955 |
| NIH project number | 1S10OD038197-01 |
| Project ID | NIH-11100381 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for benefiting from this research include individuals involved in or affected by conditions that require advanced imaging techniques for diagnosis or treatment.
✕Less likely to help
Patients who do not require advanced imaging or whose conditions are not addressed by the imaging techniques supported by this research may not receive any benefit.
What this research studies
This research focuses on acquiring a powerful Dell PowerEdge XE9680 GPU server to enhance the capabilities of the Center for Biologic Imaging at the University of Pittsburgh. The server will support the processing of large data sets generated from advanced imaging techniques such as confocal and multi-photon microscopy. By integrating traditional and innovative optical imaging approaches, the research aims to improve data reconstruction and quantitation, which are crucial for modern biomedical research. This initiative will enable researchers to analyze complex biological data more efficiently and effectively.
Why it matters
Potential benefit: If successful, this research could significantly improve the speed and accuracy of biomedical imaging analysis, leading to better insights into various health conditions.
How similar studies have gone: Other research initiatives utilizing advanced computational resources for imaging have shown significant success, indicating a strong potential for this approach.
Where this research is happening
-
University of Pittsburgh at Pittsburgh
Pittsburgh, United States Active
Researchers
- Principal investigator: Watson, Alan Michael — University of Pittsburgh at Pittsburgh
- Study coordinator: Watson, Alan Michael
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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.