Strengthening the marriage of computation and experimentation is a goal of Peng Liu, assistant professor in Pitt’s Department of Chemistry. The Liu lab is using Pitt CRC in refining computation models as part of a research process incorporating rapid experimental feedback.
“With only computation, we can never really reproduce reality,” explains Liu. “There can be a tremendous amount of error in computation when dealing with complex chemical systems. Experimentation works with realistic systems, but it is often based on trial and error. To advance computation to guide experiments you need new computational models that incorporate experimentation. Experimentation may be trial and error, but don’t forget the importance of intuition in trial and error.”
Computational flow cytometry offers new possibilities to researchers at Pitt with the acquisition of the Cytek Aurora model, which identifies thousands of cells with disease indicators per second, twice the capacity of existing technology. Pitt CRC customized data pipelines that automate the analysis.
At left, Lisa Borghesi, PhD, scientific director of the Unified Flow Core, points out the powerful lasers within the cytometer.