题目：Fourier Ptychographic Imaging(傅里叶叠层成像)
Fourier ptychography (FP) is a recently developed phase retrieval approach for large field-of-view and high-resolution imaging. This technique stitches together many variably illuminated, low-resolution measurements in the Fourier space to expand the frequency passband and recover the high-resolution complex object image. Without involving any mechanical scanning, it facilitates large field of view imaging in a simple and robust manner. In this talk, I will discuss the principle of the FP approach and its applications in gigapixel microscopy, quantitative phase imaging, 3D holographic imaging, long-range macroscopic imaging. I will also discuss how to model the Fourier ptychographic imaging process using a neural network and the extension of the FP approach for incoherent imaging settings. The FP innovation may provide new insights for the development of high-resolution imaging platforms using photon, X-ray, and electron.
Dr. Guoan Zheng received the M.S. and Ph.D. degrees in electrical engineering from Caltech in 2008 and 2013, respectively. He is currently an assistant professor at the University of Connecticut, with a joint appointment in Biomedical Engineering and Electrical Engineering departments. He is the recipient of UConn research excellence award, Caltech Demetriades Thesis Prize, and Lemelson-MIT Caltech Student Prize. The Fourier ptychography approach developed by him and his colleagues is now a sub-chapter in Goodman’s famous textbook, “Introduction to Fourier Optics”. His current research interest focuses on the development of novel imaging and sensing techniques for biomedical applications.