Imaging technology has been an important tool in scientific research as well as addressing the needs in healthcare, security, and manufacturing. Imaging systems project real-world, multi-dimensional signals onto the measurement space of the sensors. Computational Imaging is concerned with optimizing the measurement basis in order to maximize the specific information of interest while minimizing system resources. In this talk, I will demonstrate a couple of computational optical imaging systems recently developed by our group, specifically, large-field-of-view fluorescence microscopy and temporal compressive imaging.

Dr. Shuo Pang is an Assistant Professor at CREOL—College of Optics and Photonics, University of Central Florida, where he leads the Optical Imaging System Lab (http://oisl.creol.ucf.edu). He also serves as the Chair of Optical Microscopy and OCT Technical Group of Optical Society of America (OSA). Dr. Pang received his Ph.D. degree in Electrical Engineering from California Institute of Technology (Caltech) and Bachelor degree from the Department of Precision Instrument at Tsinghua University.  He has 7 awarded patents (and 2 pending) in imaging devices. His current research interests include creating novel imaging systems in the visible and x-ray regime using computational methods.