BME Seminar Series: Francesco Cutrale, Ph.D.

Friday, March 5, 2021 - 12:00 p.m. to Saturday, March 6, 2021 - 12:55 p.m.
Zoom (link below)
Francesco Cutrale, Ph.D.

Research Assistant Professor
University of Southern California

Zoom link: https://uci.zoom.us/j/97156562355

Multiplexed Fluorescence: Toward Medical Applications

Abstract: Biomedicine is moving toward more complex systems that extend across multiple scales and comprise interaction between multiple components. Harvesting this information requires robust analytical tools for multiplexing molecular labeling and empowering quantitative label-free light imaging in cells and tissues. I will present our latest advances in tackling these challenges in analysis and visualization, through the use of microscopy combined with multispectral imaging, machine learning and virtual/augmented reality.

Bio: Francesco Cutrale applies his knowledge in physics and microscopy to develop innovative tools for imaging in surgery and bio-development research and translates them into real world applications. After completing his master's degree in physics applied to biomedicine at University of Trento, he earned his doctorate in biomedical engineering at UC Irvine. He then worked at the California Institute of Technology as a research associate and, subsequently, at University of Southern California, where he is an assistant professor of research and director of computation and image processing for the Translational Imaging Center. His several years of experience developing advanced optical technology built a strong multidisciplinary background spanning from pure physics to biology, from hardware and software development to microscopy and medical image processing. He is co-founder and inventor of multiple startups dedicated to designing, prototyping and developing advanced imaging applications for microscopy, surgery, endoscopy and consumers. His recent works have been published in high profile scientific journals with considerable media coverage. His research topics span from the domain of single cells, machine learning, AI, VR, AR, scaling up to real-life hospital use and translating advanced microscopy techniques into applications that benefit human health.