报告题目：A Visualization and Analysis Tool for Confocal Microscopy
报告人：Charles Hansen 教授
Confocal microscopy is widely used in neurobiology for studying the three-dimensional structure of the nervous system. Confocal image data are often multi-channel, with each channel resulting from a different fluorescent dye or fluorescent protein; one channel may have dense data, while another has sparse; and there are often structures at several spatial scales: subneuronal domains, neurons, and large groups of neurons (brain regions). Together with neurobiologists, we have designed such a tool, FluoRender, choosing visualization methods to suit the characteristics of confocal data and a typical biologist’s workflow. We use interactive volume rendering with intuitive settings for multidimensional transfer functions, multiple render modes and multi-views for multi-channel volume data, and include a series of 2D (post rendering) image space methods as enhancements. By integrating the interactive segmentation functions with a confocal visualization tool neurobiologists can easily extract complex neural structures within their typical visualization workflow. Research in biology often requires tracking individual cells over time. FluoRender includes a 4D cell tracking workflow equipped with the uncertainty footprint that is capable of self diagnosis and correction for a higher accuracy than previous methods whose evaluation is limited by manual examinations.
Bio: Charles (Chuck) Hansen is an IEEE Fellow and a Professor of Computer Science in the School of Computing and an Associate Director of the Scientific Computing and Imaging Institute at the University of Utah. He received a BS in computer science from Memphis State University in 1981 and a PhD in computer science from the University of Utah in 1987. Since 1997, he has been on the faculty in Computer Science at the University of Utah. He was a visiting professor at the University Joseph Fourier in 2011-2012 and a visiting scientist at INRIA-Rhone Alpes in the GRAVIR group in 2004-2005. From 1989 to 1997, he was a Technical Staff Member in the Advanced Computing Laboratory (ACL) located at Los Alamos National Laboratory, where he formed and directed the visualization efforts in the ACL. He was a Bourse de Chateaubriand PostDoc Fellow at INRIA, Rocquencourt France, in 1987 and 1988.
Chuck Hansen has published over 162 peer reviewed journal and conference papers and has been a co-author on three papers recognized with ``Best Paper Awards'' at the IEEE Visualization Conference (1998, 2001, 2002). He was co-author on the Best Paper at IEEE Pacific Visualization 2010. He was awarded the IEEE Technical Committee on Visualization and Graphics "Technical Achievement Award" in 2005 in recognition of seminal work on tools for understanding large-scale scientific data sets.
He is an Associate Editor in Chief of IEEE Transactions on Visualization and Computer Graphics and has been on the editorial board of Elsevier Computers and Graphics Journals. His research has made contributions to the fields of scientific visualization, computer graphics, parallel computation and computer vision.