2025 - 2028 ISAC International Innovator - Matthew DiSalvo

My research in flow cytometry focuses on fundamental metrology challenges such as uncertainty quantification (UQ) and measurement comparability. I create microfluidic serial flow cytometers that replicate optical measurements on particles for direct UQ on a per-particle¬basis. UQ enables objective optimization of the operation and design of flow cytometers and has already allowed us to improve and take advantage of novel flow focusing and integrated optics in our cytometers. Also, the full time-trace data from cytometer photodetectors can be incredibly information-rich, and I am investigating new methods for their analysis and storage. I hope these technologies will catalyze additional advancements within the flow cytometry community, and I am excited to explore new applications, such as using serial cytometers or analyses to evaluate and compare the measurement performance of emerging instrumentation and software.