电子与信息工程学院2015年研究生教育名家讲坛(第一讲)

发布时间:2015-12-14来源:浏览次数:132

主讲人:美国加州大学圣地亚哥分校(UCSD Albert Lawrence教授

报告题目:信息镜头下的系统生物学

时间:20151216日(周三)下午200

欢迎全校师生踊跃参加。

                              电子与信息工程学院

                                  2015.12.14


摘要:在细胞生物学中的一项重要研究课题是了解细胞亚显微结构与代谢网络之间的关系。生物学家尝试使用多种手段和技术来剖析细胞的生物结构与化学物质传输以及电信号之间所存在的联系,这些技术能够从细胞分子水平贯穿到组织器官水平。例如,先进的染色技术使研究人员通过电子显微镜可以观察到细胞核内的染色体结构、细胞质纤维以及细胞外空间结构。断层成像技术可以还原神经纤维的三维结构。然而这些图像的分辨率有限,新的数据处理方法和高敏感度探针可以使图像的重建跨越更大的时间和空间尺度。基于信息学理论和熵的概念,以统计力学的理论研究为基础发展了一系列新的生物学建模方法和成像算法。从理论上研究了此类方法的局限性,这决定了数据量大小以及提取时间,并以此为契机为我们打开了更广阔的探索空间。


报告人简介:Albert Lawrence,加州大学圣地亚哥分校(UCSD)美国国家显微镜与影像研究中心(NCMIRhttp://www.ncmir.ucsd.edu/)与系统生物研究中心(CRBS)教授, 1968年于芝加哥大学获数学博士学位。研究方向:生物医学图像处理、数学建模、微电路技术等。


Title: Systems Biology through the Informational Lens

Authors: Mark Ellisman, Albert Lawrence, and TsviKatchalski

Affiliation: Center for Research on Biological Systems, University of California, San Diego

Abstract: A grand goal in cell biology is to understand the interplay of cellular ultrastructure and the metabolic network. Biologists make use of an increasingly powerful arsenal of tools and technologies for obtaining structural data as well as details of mass transport and the chemical and electrical signals that underlie biological processes, from the level of molecules to whole organs. For example new staining techniques permit the clear imaging of chromatin filaments in the cell nucleus and filament networks in the cytoplasmic and extracellular space via the electron microscope. The application of tomographic reconstruction permits 3D reconstructions of the filaments. Nevertheless these images are taken at resolution limits and the complete reconstruction of these extended structures is, at present, problematic. New data processing methods as well as advances in chemically sensitive probes and imaging technology must be applied across a wide range of spatial and temporal scales. One class of increasingly useful tools for modeling biological systems, evaluating imaging technologies and characterizing the fidelity of digital processing has its roots in theoretical investigations in statistical mechanics, which arise from the concepts of information and entropy. In particular we must examine the theoretical limits which determine how much is in our data and how quickly we may extract it. This endeavor leads us on a figurative journey into territory which may be described as the land of N log(N).


Bios: Mark Ellisman is Distinguished Professor of Neurosciences and Bioengineering; Director, the National Center for Microscopy and Imaging Research (NCMIR) (http://www.ncmir.ucsd.edu/) UCSD.

Albert Lawrence (Presenter) received his PhD. in mathematics at the University of Chicago in 1968. Since that time he has pursued scientific interests in mathematical modeling, biomedicine, image processing and microcircuit technology.

TsviKatchalski received his PhD from Weitzman Institute in Israel, and has worked in computed tomography since 2007. He is presently a postdoctoral student at NCMIR.


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