Feng Guo
Indiana University, IN·Biomedical Engineering
Much of modern biology and chemistry depends on moving tiny volumes of liquid quickly and precisely. Examples include preparing DNA for sequencing, running diagnostic tests, and screening thousands of drug candidates.
- Fields
Biomedical Engineering
Engineering
Chemistry
- Topics
acoustofluidics
microfluidics
acoustics
- Grants
- 1 known grant, through Aug 2029
What they work on
- Integrate digital acoustofluidics, which uses sound to move droplets held in oil, with AI-guided closed-loop image feedback to generate droplets of controlled volume, transport them in parallel, and fuse and mix them on demand.
- Develop real-time imaging of each droplet and an AI controller that automatically regulates acoustic actuators to run liquid-liquid interactions.
- Validate the optimized platform for protein crystal chemistry and high-throughput drug screening, comparing it against the limits of traditional liquid-handling tools.
More about the research
Reactions in picolitre droplets (trillionths of a liter) can be complex and change over time. Current tools, such as robots, valves, electric fields and magnets, can suffer from cross-contamination, low throughput, limited precision or poor reproducibility. Most also cannot watch the droplets in real time and adjust as they go.
Why it matters
A contamination-free, precise and self-monitoring droplet handler could make high-throughput tasks faster and more reliable. These include sequencing library preparation, clinical diagnostics, large-scale compound screening and protein crystallization. Researchers in chemistry, biology and drug discovery, as well as clinical labs, could benefit.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Shiaowen Hsu
Duke University, NC·Medicine & Clinical Research
Test whether minimal residual disease cells from colorectal cancer patients that resist standard-of-care chemotherapy are more likely to metastasize and cause recurrence, using MicroOrganoSpheres grown from portal venous blood collected during surgery.
Abraham Lee
University of California-Irvine, CA·Biomedical Engineering
Test whether the ADOPT droplet tomography platform can rapidly capture 3D shapes of single blood cells' membranes and organelles from a drop of blood, and compare these shapes with single-cell RNA data from Drop-seq.
Yunan Luo
Georgia Institute of Technology, GA·Computer Science·Early-career
Develop machine learning methods that learn protein representations from amino acid sequence and 3D structure, in order to explain how composition and shape determine protein function.
The school
Indiana University: 21 labs on PI Pages, $897M a year on research, 438 research doctorates a year.
Reach out
A start for your email. Fill in the brackets.