Engineering microscopes using computational imaging

Chrysanthe Preza

(University of Memphis)

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Date: May 18, 2022


Improving the performance of three-dimensional (3D) fluorescence microscopes is a topic that has received a lot of attention over the years. In this talk, I will discuss computational imaging techniques that we developed in the past based on point-spread function engineering to address depth-induced spherical aberration, as well as new developments to improve 3D spatial resolution based on optical-transfer function engineering using novel structured illumination approaches.

Further Information:

Chrysanthe Preza is the Kanuri Professor and Chair in the Department of Electrical and Computer Engineering at the University of Memphis, where she joined 2006. She received her D.Sc. degree in Electrical Engineering from Washington University in St. Louis in 1998. She leads the research in the Computational Imaging Research Laboratory at the University of Memphis. Her research interests are imaging science, estimation theory, computational imaging enabled by deep-learning, and computational optical sensing and imaging applied to multidimensional multimodal light microscopy. She received a CAREER award by the National Science Foundation in 2009, the Herff Outstanding Faculty Research Award in 2010 and 2015, and she was the recipient of the Ralph Faudree Professorship at the University of Memphis 2015-2018. She was named Fellow of the SPIE in 2019 and Fellow of the Optica (OSA) in 2020. She serves as Associate Editor for IEEE Transactions on Computational Imaging, Topical Editor for Optica’s Applied Optics, and as Executive Editor for Biological Imaging, Cambridge University Press.

Created: Thursday, May 19th, 2022