講 演 会
演題 (title): Structure Elucidation from 3D Electron Microscopy
with Applications
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Prof. Chandrajit Bajaj
元東京大学新領域創成科学研究科客員教授
Center for Computational Visualization, Department of Computer Sciences,
Institute for Computational Engineering and Sciences, University of Texas at Austin
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| 日時 (date and time) |
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２００７年５月２１日（月）１０：１５−１１：４５ |
講演場所 (location)
遠隔講義システム利用 |
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東京大学本郷キャンパス理学部7号館102講義室
東京大学柏キャンパス柏基盤棟複雑理工学専攻講義室(2D5) |
With continued advances in three dimensional Electron
Microscopy (3D EM) one is progressively able to elucidate the
structural building blocks of proteins (and nucleic acids) at
varying resolutions. In this talk, I shall discuss algorithms
to detect the secondary structural motifs (helices and sheets)
from proteins for which the volumetric 3D EM maps are
reconstructed at 5-10 Angstrom resolution. Additionally, I
shall show that when the resolution is coarser than 10 Angstrom,
some of the tertiary structural molecular motifs can be
elucidated from the 3D EM. For each of these algorithms, we
employ techniques from computational geometry (Delaunay
Triangulations/Voronoi Diagrams) and differential topology
(Morse-smale complexes), especially the computation of
stable/unstable manifolds of certain critical points of
distance functions of surface boundaries. I shall also allude
to the use of such techniques for deformations of 2D or 3D
images, for computer graphics applications.
講演者について (about the speaker)：
Chandrajit Bajaj is the CAM Chair in Visualization Professor of computer sciences at the University of Texas at Austin, as well as the director of the Computational Visualization Center, in the Institute for Computational and Engineering Sciences (ICES). He graduated from the Indian Institute of Technology, Delhi with a Bachelor's Degree in Electrical Engineering, in 1980 and received his M.S. and Ph.D. degrees in Computer Sciences from Cornell University, in 1983, and 1984 respectively. Prior to the University of Texas, Bajaj was a professor of computer sciences at Purdue University and director of the Purdue center for image analysis and visualization. Bajaj's research areas span Image Processing, Geometric Modeling, Computer Graphics, Visualization, and Computational Mathematics. His current research topics include de-noising, reconstruction and compression algorithms for volumetric and time-dependent imaging; as well as data structures that support multi-resolution finite element approximations of large geometries and multiple function fields. Bajaj has been developing integrated approaches to computational modeling, simulations, mathematical analysis and interrogative visualization, especially for dynamic bio-medical phenomena. Bajaj has over 170 publications, has written one book and edited three other books in his area of expertise. He is on the editorial boards for the International Journal of Computational Geometry and Applications, and the ACM Transactions on Graphics. He is on numerous national and international conference committees and has served as a scientific consultant to national labs and industry.
He was a visiting professor of the Department of Complexity Science and Engineering, the university of Tokyo.
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