Year: 2018
Type: preprint
Abstract: We propose an efficient algorithm to analyze $3D$ atomic resolution crystal images based on a fast $3D$ synchrosqueezed wave packet transform. The proposed algorithm can automatically extract microscopic information from $3D$ atomic resolution crystal images, e.g., crystal orientation, defects, and deformation, which are important information for characterizing material properties. The effectiveness of our algorithms is illustrated by experiments of synthetic datasets and real $3$D microscopic colloidal images.
Source: arXiv (Cornell University)
Authors: Zhang, Tao, Li, Ling, Yang, Haizhao
Institutions: National University of Singapore, Virginia Tech
Language: English
Subfield: Structural Biology
Domain: Life Sciences
Open Access status: green
Funder: National University of Singapore
OpenAlex ID: W2901645231
