Tilting Alignment for Electron Tomography Based on Local Cross Correlation and Adaptive Searching

摘要：

Understanding three-dimensional (3D) structure of components ranging from molecules to cells can help to understand the biological function of viruses.Accurate image alignment is needed for computing 3D reconstruction from transmission electron microscope tilt series. In this paper, an image alignment method for electron tomography is presented which is based on local cross-correlation and adaptive searching. Using several feature regions to compute cross-correlation instead of whole image can overcome the noise-sensitivity of the cross-correlation method. And the adaptive searching can improve the accuracy of alignment in effective time.

作者: Xiaorong Wu Xiaoming Wu Zhenming Zhu

作者单位: School of Computer Science and Engineering,South China University of Technology,Guangzhou,P.R.China; School of Biological Science and Engineering,South China University of Technology,Guangzhou,P.R.Chin Pervasive Computing Lab,Institute of Computing Technology,Chinese Academy of Sciences,Beijing P.R.Ch

会议类型: 国际会议

会议名称: 2008 IEEE International Symposium on IT in Medicine and Education(2008信息技术在医学和教育中的应用国际研讨会)(ITME 2008)

会议地点: 厦门

会议语种:英文

页码: 684-688

在线出版日期: 2008-12-12（万方平台首次上网日期，不代表论文的发表时间）