Skip Navigation

This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Chen, F.-R.
Right arrow Articles by Chang, L.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Chen, F.-R.
Right arrow Articles by Chang, L.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Journal of Electron Microscopy 50:529-540 (2001)
© 2001 Oxford University Press


Paper

Extension of HRTEM resolution by semi-blind deconvolution method and Gerchberg–Saxton algorithm: application to grain boundary and interface

Fu-Rong Chen, Hideki Ichnose, Ji-Jung Kai and Li Chang

Department of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan
Department of Materials Science and Engineering, Tokyo University, Tokyo, Japan
Department of Materials Science and Engineering, National Chiao Tung University, Hsinchu, Taiwan

A generalized maximum entropy method coupled with Gerchberg–Saxton algorithm has been developed to extend the resolution from high-resolution TEM image (s) for weak objects. The Gerchberg–Saxton algorithm restores spatial resolution by operating real space and reciprocal space projections cyclically. In our methodology, a generalized maximum entropy method (Kullback–Leibler cross entropy) dealing with weak objects is used as a real space (P1) projection. After P1 projection, not only are the phases within the input spatial frequencies improved, but also the phases in the next higher frequencies are extrapolated. An example of semi-blind deconvolution (P1 project only) to improve the resolution in SiC twin boundary is shown. The nature of the bonding in this twin boundary is Si-C but it was rotated 180° along the boundary normal. The optimum solution from P1 projection can be further improved by a P2 projection. The square roots of diffraction intensities from a diffraction pattern are then substituted to complete a cycle operation of the Gerchberg–Saxton algorithm. Application examples of Gerchberg–Saxton algorithm to solve the atomic structure of defects (2 x 1 interfacial reconstruction and dislocation) in NiSi2/Si interfaces will be shown also.

Keywords     resolution extension, maximum entropy deconvolution method, Gerchberg–Saxton algorithm, interface and grain boundary structure


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.