Plenary Lecture

Real-time In vivo and In situ Cellular Image Processing and Characterization:
Challenges and Solutions

Associate Professor LIN Feng
Div of Information Systems
Programme Director, MSc(DMT)
Nanyang Technological University
School of Computer Engineering
N4-2A-05, Nanyang Avenue
Singapore 639798
Tel: (65) 67906184      Fax: (65) 67926559
E-mail: asflin@ntu.edu.sg

Abstract: We study the feasibility of 3D virtual histology through real-time in vivo and in situ cellular imaging. A prototype system has been developed based on photodynamic fluorescence signals, confocal endomicroscopy, and FPGA image processing and characterization computing. Experiments in its clinical applications have been conducted, mainly for diagnosis of early-stage mucous cancer. With the fine-grained parallel imaging programs mapped on the FPGA, a stream of focused optical sections of microstructures in the subsurface layers up to 300μm in depth, can be processed online and the extracted features can be visualized seamlessly with the endomicroscopy settings.

Brief Biography of the Speaker:

Lin Feng, PhD, is an Associate Professor in School of Computer Engineering, Nanyang Technological University, Singapore. His research interests include bioinformatics, bioimaging and visualization, and high-performance computing. He has published about one hundred technical papers in journals, conferences and books, and served in several editorial boards and conference organization committees.