Creating advanced tools for visualizing complex biological data
Official title: TOPIC 426: ATLASCOPE: COMPOSABLE VISUALIZATION TOOLS FOR MULTISCALE INTEGRATIVE BIOLOGY
Funded at Kitware, INC. · NIH-10932000 · Data updated 2026-11-12
This study is working on a user-friendly web app called Atlascope that helps scientists better see and understand complex biological data, making their research easier and more effective.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Kitware, INC. NIH-funded |
| Lab location | 1 site (Clifton Park, United States) |
| Project start | September 15, 2023 |
| Project end | September 14, 2025 |
| Funding year | 2023 |
| Award (this year) | $1,499,969 |
| NIH project number | 75N91023C00030-0-9999-1 |
| Project ID | NIH-10932000 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research include researchers and clinicians working with complex biological data who are looking for advanced visualization tools.
✕Less likely to help
Patients who are not involved in biological research or do not work with complex biological data may not receive any direct benefit from this research.
What this research studies
This research focuses on developing and enhancing a web application called Atlascope, which is designed to facilitate the visualization and analysis of complex biological data across multiple scales. By building on the initial prototypes from Phase I, the team aims to improve the application's features and integrate more real-world biological data. This will allow researchers to conduct more comprehensive biological workflows and visualizations, ultimately making it easier to understand intricate biological systems.
Why it matters
Potential benefit: If successful, this research could provide researchers and clinicians with powerful tools to better visualize and analyze biological data, leading to improved insights and advancements in biology and medicine.
How similar studies have gone: While the specific approach of Atlascope may be novel, similar visualization tools have shown success in enhancing biological research and data analysis in the past.
Where this research is happening
-
Kitware, INC.
Clifton Park, United States Active
Researchers
- Principal investigator: Choudhury, Roni — Kitware, INC.
- Study coordinator: Choudhury, Roni
Related research
Other NIH-funded projects on the same topics.
-
An AI tool for extracting and visualizing knowledge about metabolites and infectious diseases
This study is creating a user-friendly web app called Viime Extract that uses smart technology to help people understand research about how our body's chemicals relate to infections, making it easier to explore and check important information.
-
Automated AI system for assessing kidney transplant health
This study is testing a new AI tool that helps doctors better check the health of kidney transplants by automatically scoring important tests, making it easier to keep good organs from being thrown away, and it's designed to be user-friendly for the doctors who use it.
-
Analyzing brain microstructure changes during adolescence using advanced imaging techniques
This study is looking at how the brain's structure changes during the teenage years and how these changes might be linked to mental health issues like bipolar disorder, using special imaging techniques to help researchers understand this better.
-
Improving surgical skills through advanced simulation technology
This study is all about creating realistic training tools to help surgeons improve their skills and stay sharp, especially when facing tricky situations during surgery, so they can provide the best care for patients like you.
-
Detecting cracks in teeth using advanced imaging technology
This study is testing a new way to find cracks in teeth using advanced imaging technology and smart computer programs, which will help dentists catch problems early and keep your teeth healthy.
-
Using imaging to assess lung infections in premature infants
This study is working on a new, safe way to use X-ray images to help doctors understand how serious respiratory infections are in premature babies, so they can start treatment sooner and improve their health.
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.