Faster, Dye-Free Tissue Analysis for Diagnosing Diseases
Label-free digital cytopathology using deep-ultraviolet coded ptychography with intrinsic molecular contrast
This project is developing a new way to look at tissue samples without dyes, aiming to make diagnoses quicker and more accurate for conditions like brain tumors.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Connecticut Storrs NIH-funded |
| Lab location | 1 site (Storrs-Mansfield, United States) |
| Project ID | NIH-11124916 on NIH RePORTER |
What this research studies
We are working on a new digital tool that can examine tissue samples without needing to prepare them with dyes, which usually takes a long time. This tool uses special deep ultraviolet light that interacts directly with the natural molecules in your cells, like DNA and proteins. By measuring how this light is absorbed, we can create detailed maps of your cells' components, helping doctors see important details without any added chemicals. This could mean faster results and more precise information for your care.
Who could benefit from this research
Good fit: This research is foundational for anyone who might need a tissue biopsy for diagnosis, particularly for conditions like brain tumors where quick and accurate results are vital.
Not a fit: Patients who do not require tissue biopsies or whose conditions are not diagnosed through histopathological examination would not directly benefit from this specific technology.
Why it matters
Potential benefit: If successful, this technology could significantly speed up tissue diagnosis, providing critical information to doctors much faster for conditions such as cancer.
How similar studies have performed: While traditional microscopy is well-established, this approach of label-free deep-ultraviolet coded ptychography for digital cytopathology is a novel and largely untested method.
Where this research is happening
Storrs-Mansfield, United States
- University of Connecticut Storrs — Storrs-Mansfield, United States (Active)
Researchers
- Principal investigator: Zheng, Guoan — University of Connecticut Storrs
- Study coordinator: Zheng, Guoan
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 below.