Franco Stellari, Peilin Song, et al.
ISTFA 2014
Transmission Electron Microscopy (TEM) and scanning TEM (STEM) is widely used to acquire ultra high resolution images in different research areas. For some applications, a single TEM/STEM image does not provide enough information for analysis. One example in VLSI circuit failure analysis is the tracking of long interconnection. The capability of creating a large map of high resolution images may enable significant progress in some tasks. However, stitching TEM/STEM images in semiconductor applications is difficult and existing tools are unable to provide usable stitching results for analysis. In this paper, a novel fully automated method for stitching TEM/STEM image mosaics is proposed. The proposed method allows one to reach a global optimal configuration of each image tile so that both missing and false-positive correspondences can be tolerated. The experiment results presented in this paper show that the proposed method is robust and performs well in very challenging situations. Copyright © 2013 ASM International® All rights reserved.
Franco Stellari, Peilin Song, et al.
ISTFA 2014
Franco Stellari, Peilin Song, et al.
IRPS 2009
Qinghuang Lin, Chuck Black, et al.
Microlithography 2003
C.-K. Hu, E. Liniger, et al.
MRS Spring Meeting 2013