Developing tools to analyze tissue images at the single cell level
Informatics Tools To Analyze And Model Whole Slide Image Data At The Single Cell Level
This study is working on new tools to help doctors better understand cancer by looking closely at tissue samples, which could lead to more accurate diagnoses and personalized treatments for patients.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ut Southwestern Medical Center NIH-funded |
| Lab location | 1 site (Dallas, United States) |
| Project ID | NIH-10681472 on NIH RePORTER |
What this research studies
This research focuses on creating advanced informatics tools to analyze and model whole slide images of tissue samples, particularly in the context of cancer. By utilizing digital scanning techniques and machine learning, the project aims to classify different cell types based on their nucleus morphology and enhance image quality for better analysis. The goal is to improve our understanding of tumor characteristics and their relationship to clinical outcomes by examining tissue at a single-cell resolution. Patients may benefit from more accurate diagnoses and personalized treatment plans as a result of this innovative approach.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients diagnosed with various types of cancers who have tissue samples available for analysis.
Not a fit: Patients with non-cancerous conditions or those without available tissue samples may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more precise cancer diagnoses and tailored treatment strategies for patients.
How similar studies have performed: Previous research has shown promise in using computational tools for tissue analysis, indicating that this approach could lead to significant advancements in cancer diagnostics.
Where this research is happening
Dallas, United States
- Ut Southwestern Medical Center — Dallas, United States (Active)
Researchers
- Principal investigator: Xiao, Guanghua — Ut Southwestern Medical Center
- Study coordinator: Xiao, Guanghua
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.