2020/08/11 by Arnulfo Gonzalez, Marylesa Howard, Gonzalez, Arnulfo +5
Biochemistry, Genetics and Molecular Biology · Materials Science · Physics and Astronomy · #Advanced Electron Microscopy Techniques and Applications #Advanced X-ray Imaging Techniques #Data Analysis #Electron and X-Ray Spectroscopy Techniques #FOS: Electrical engineering #FOS: Physical sciences #Image and Video Processing (eess.IV) #Statistics and Probability (physics.data-an) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2008.04972
openalex publication_date 2020/08/11 · openalex created_date 2020/08/18 · openalex updated_date 2026/07/28
Crystal defects play a large role in how materials respond to their surroundings, yet there are many uncertainties in how extended defects form, move, and interact deep beneath a material's surface. A newly developed imaging diagnostic, dark-field X-ray microscopy (DFXM) can now visualize the behavior of line defects, known as dislocations, in materials under varying conditions. DFXM images visualize dislocations by imaging the very subtle long-range distortions in the material's crystal lattice, which produce a characteristic adjoined pair of bright and dark regions. Full analysis of how these dislocations evolve can be used to refine material models, however, it requires quantitative characterization of the statistics of their shape, position and motion. In this paper, we present a semi-automated approach to effectively isolate, track, and quantify the behavior of dislocations as composite objects. This analysis drives the statistical characterization of the defects, to include dislocation velocity and orientation in the crystal, for example, and is demonstrated on DFXM images measuring the evolution of defects at 98% of the melting temperature for single-crystal aluminum, collected at the European Synchrotron Radiation Facility.