Juan Ren, Adarsh Krishnamurthy, Anwesha Sarkar, and Aditya Balu are using 100 received a $1 million National Science Foundation grant.
Problem: AFM is the best method to measure the nanomechanics of biological materials because it applies precisely controlled forces at desired locations within the material and can sense the response of the sample. However, for now, this technology relies on continuous human monitoring and continuous troubleshooting, which limits the platform’s potential.
Approach: The Cyclone Engineering research team developed a novel closed-loop AFM with AI-based sensing and characterization, physics-aware neural surrogates to model interactions between AFM probes and soft biological samples, and AFM navigation and control algorithms. Develop and validate the framework. Through real-time learning.
Impact: This research expands the use of AFM into new areas of biochemical and biomedical science and engineering, with implications beyond live-cell AFM research and into other cyberphysical areas such as biomedical devices, materials, and manufacturing. will give you.
Principal Investigator: Juan Ren, Associate Professor of Mechanical Engineering
Co-principal investigator:
Adarsh Krishnamurthy, Associate Professor of Mechanical Engineering and Deputy Director, Translational AI Research Center Anwesha Sarkar, Harpole-Pentair Assistant Professor of Electrical and Computer Engineering, Aditya Balu, Data Scientist, Translational AI Research Center
Funder: National Science Foundation Computer and Network Systems Division. Award 2409359.
