Improving imaging techniques for biological samples
Official title: Hybrid Model-Based and Data-Driven Frameworks for High-Resolution Tomographic Imaging
Funded at University of Calif-Lawrenc Berkeley Lab · NIH-10931387 · Data updated 2026-11-12
This study is working on new ways to take clearer pictures of tiny molecules in their natural settings, which could help doctors better understand how our cells work and lead to improved treatments for patients.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Calif-Lawrenc Berkeley Lab NIH-funded |
| Lab location | 1 site (Berkeley, United States) |
| Project start | September 15, 2023 |
| Project end | August 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $505,225 |
| NIH project number | 5R35GM150982-02 |
| Project ID | NIH-10931387 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research include individuals with conditions that involve complex biological processes, such as cancer or neurodegenerative diseases.
✕Less likely to help
Patients with conditions that do not involve cellular imaging or structural biology may not receive direct benefits from this research.
What this research studies
This research focuses on enhancing imaging methods to visualize biomolecules in their natural environments, specifically using cryo-electron and X-ray tomography. By addressing challenges such as resolution degradation and sample deformation, the project aims to develop advanced algorithms that combine mathematical modeling and machine learning. Patients may benefit from improved understanding of cellular structures and functions, which could lead to better diagnostic and therapeutic strategies. The research employs a hybrid approach that integrates both model-based and data-driven techniques to achieve high-resolution imaging.
Why it matters
Potential benefit: If successful, this research could lead to significant advancements in the visualization of biomolecules, improving diagnostic capabilities and treatment strategies for various diseases.
How similar studies have gone: Other research in the field of structural biology has shown success with advanced imaging techniques, indicating a promising potential for this novel approach.
Where this research is happening
-
University of Calif-Lawrenc Berkeley Lab
Berkeley, United States Active
Researchers
- Principal investigator: Pande, Kanupriya — University of Calif-Lawrenc Berkeley Lab
- Study coordinator: Pande, Kanupriya
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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.