Using advanced fluorescent labels to classify different cell types in fatty tissue.
Hyperplexed Quantum Dots for Multidimensional Cell Classification in Intact Tissue
['FUNDING_R01'] · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · NIH-11042286
This study is exploring a new way to use special glowing markers to help scientists see and identify different types of cells in fatty tissue, which could improve our understanding of how these cells work in both lean and obese animals.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN (nih funded) |
| Locations | 1 site (CHAMPAIGN, UNITED STATES) |
| Trial ID | NIH-11042286 on ClinicalTrials.gov |
What this research studies
This research focuses on developing innovative fluorescent labels using semiconductor quantum dots to classify individual cells within intact three-dimensional fatty tissue. By employing hyperspectral light sheet microscopy, the researchers aim to analyze over 30 distinct molecules in a single staining step, allowing for a comprehensive mapping of various cell types. This approach addresses current limitations in optical microscopy, which can typically distinguish only a few molecular markers, thereby enhancing our understanding of cellular diversity in tissues. The project includes workflows for preparing adipose tissues from lean and obese rodent models, along with software and deep learning algorithms to automate cell identification.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with conditions related to adipose tissue, such as obesity or diabetes.
Not a fit: Patients with conditions unrelated to adipose tissue or those who do not have a significant presence of fatty tissue may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly improve the ability to classify and understand different cell types in fatty tissues, potentially leading to better treatments for conditions like obesity and diabetes.
How similar studies have performed: Other research has shown promise in using advanced imaging techniques for cell classification, but this specific approach utilizing quantum dots is relatively novel.
Where this research is happening
CHAMPAIGN, UNITED STATES
- UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN — CHAMPAIGN, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: SMITH, ANDREW MICHAEL — UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
- Study coordinator: SMITH, ANDREW MICHAEL
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.