Improving imaging efficiency with automated slide scanning technology
Official title: Enhancing Imaging Efficiency through Automated Slide Scanning Image Acquisition
Funded at Mc Laughlin Research Institute · NIH-11102675 · Data updated 2026-11-12
This study is all about using a new, high-tech microscope and slide scanner to help scientists take faster and clearer pictures of biological tissues, making it easier for researchers, especially those in rural and aging communities in Montana, to advance their important work.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Mc Laughlin Research Institute NIH-funded |
| Lab location | 1 site (Great Falls, United States) |
| Project start | May 15, 2025 |
| Project end | May 14, 2026 |
| Funding year | 2025 |
| Award (this year) | $170,675 |
| NIH project number | 1S10OD038298-01 |
| Project ID | NIH-11102675 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research include individuals from rural and aging communities in Montana who are involved in or affected by NIH-funded biomedical research.
✕Less likely to help
Patients who are not part of the rural or aging communities in Montana may not receive direct benefits from this research.
What this research studies
This research focuses on enhancing the efficiency of imaging processes by acquiring a state-of-the-art fluorescence microscope and slide scanner. The new technology will automate the slide scanning workflow, allowing for faster and more accurate imaging of biological tissues. By implementing advanced algorithms and features, the research aims to reduce bottlenecks in current imaging processes, thereby accelerating the progress of various NIH-funded projects. This initiative is particularly beneficial for researchers working in rural and aging communities in Montana, as it aims to bring cutting-edge scientific opportunities closer to these populations.
Why it matters
Potential benefit: If successful, this research could significantly speed up the imaging process, leading to faster discoveries and advancements in biomedical research.
How similar studies have gone: Other research has shown success with similar automated imaging technologies, indicating a promising potential for this approach.
Where this research is happening
-
Mc Laughlin Research Institute
Great Falls, United States Active
Researchers
- Principal investigator: Canine, Brenda F — Mc Laughlin Research Institute
- Study coordinator: Canine, Brenda F
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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.