Developing software for analyzing and sharing 3D imaging data in neuroscience.
Map Manager: Longitudinal image analysis with online editing and sharing.
['FUNDING_OTHER'] · UNIVERSITY OF CALIFORNIA AT DAVIS · NIH-10365810
This study is working on new software to help scientists quickly and accurately analyze large amounts of brain imaging data, making it easier for them to share and use this information in their research.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF CALIFORNIA AT DAVIS (nih funded) |
| Locations | 1 site (DAVIS, UNITED STATES) |
| Trial ID | NIH-10365810 on ClinicalTrials.gov |
What this research studies
This research focuses on creating advanced software tools for analyzing large datasets generated from 3D and functional imaging techniques in neuroscience. It aims to address the challenges posed by the increasing volume of imaging data by developing high-throughput image analysis algorithms that are both rapid and accurate. The software will facilitate the creation and curation of annotations in longitudinal imaging datasets, promoting data sharing and reproducibility among researchers. By providing user-friendly web and desktop interfaces, the project seeks to make these important datasets more accessible and usable for the scientific community.
Who could benefit from this research
Good fit: Ideal candidates for benefiting from this research include neuroscientists and researchers working with 3D imaging techniques who require robust analysis tools for their longitudinal datasets.
Not a fit: Patients not involved in neuroscience research or those not utilizing imaging techniques in their studies may not receive any benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly enhance the ability of researchers to analyze and share complex imaging data, leading to more reproducible and collaborative neuroscience research.
How similar studies have performed: Other research has shown success in developing software tools for single time-point image analysis, but this approach to longitudinal imaging analysis is relatively novel and untested.
Where this research is happening
DAVIS, UNITED STATES
- UNIVERSITY OF CALIFORNIA AT DAVIS — DAVIS, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: CUDMORE, ROBERT HARRY — UNIVERSITY OF CALIFORNIA AT DAVIS
- Study coordinator: CUDMORE, ROBERT HARRY
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.