Sample Preparation & Manipulation
We aim to develop tools ensure that precious and fragile biological samples are quickly, reliably, and efficiently transferred into MAS rotors so that all of the powerful new SSNMR approaches can be applied to these systems. We are also developing multiple approaches to manipulate sample conditions and create asymmetric membrane environments.
Improving SSNMR Data Collection
Our goal is to improve NMR data acquisition hardware and software through development of software tools for automating some or (all of) the experimental setup and improving MAS probe designs for better overall sensitivity and resolution, providing enhanced instrument performance.
Integrated NMR for Complex Systems
Ultimately, we want NMR to be an accessible and reliable tool for the biomedical research community. To achieve this, we are developing automated processing to improve the quality and reproducibility of NMR data analysis, developing integrated data collection and analysis, and upgrading user interfaces to make NMR software more user friendly for both experts and non-experts.
Driving Biomedical Projects (DBPs)
DBPs represent systems that require development of technology with specific focuses on fundamental and/or translational impact, bottlenecks in NMR technologies, and unique sample characteristics.
How to become a DBP
NMRFAM is presently seeking out future DBPs from additional groups within the broader biomedical research community to explicitly achieve our goal of making NMR more accessible and user friendly, and ensure that this powerful technique can be applied to the most important biomedical research problems.
Think you have a DBP? Contact us to start a discussion!
NMRFAM Sponsor Acknowledgements
All publications resulting from research at NMRFAM must acknowledge the facility and its funding sources (this is a requirement of the grants that support NMRFAM).
This study made use of the National Magnetic Resonance Facility at Madison, an NIH Biomedical Technology Development and Dissemination Center NIH P41GM136463. Helium recovery equipment, computers, and infrastructure for data archive were funded by the University of Wisconsin-Madison, NIH P41GM136463, R24GM141526 and by the United States National Science Foundation Mid-Scale Research Infrastructure Big Idea under Grant No. 1946970.