Improving imaging efficiency with automated slide scanning technology

Enhancing Imaging Efficiency through Automated Slide Scanning Image Acquisition

NIH-funded research Mc Laughlin Research Institute · NIH-11102675

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 typeNIH-funded research
Study typeNIH-funded research
Funding institutionMc Laughlin Research Institute NIH-funded
Lab location1 site (Great Falls, United States)
Project IDNIH-11102675 on NIH RePORTER

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.

Who could benefit from this research

Good fit: 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.

Not a fit: Patients who are not part of the rural or aging communities in Montana may not receive direct benefits from this research.

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 performed: Other research has shown success with similar automated imaging technologies, indicating a promising potential for this approach.

Where this research is happening

Great Falls, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions DiseaseDisorder
Last reviewed 2026-06-09 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.