Literature DB >> 33197699

Electron backscattered diffraction using a new monolithic direct detector: High resolution and fast acquisition.

Fulin Wang1, McLean P Echlin1, Aidan A Taylor1, Jungho Shin1, Benjamin Bammes2, Barnaby D A Levin2, Marc De Graef3, Tresa M Pollock1, Daniel S Gianola4.   

Abstract

A monolithic active pixel sensor based direct detector that is optimized for the primary beam energies in scanning electron microscopes is implemented for electron back-scattered diffraction (EBSD) applications. The high detection efficiency of the detector and its large array of pixels allow sensitive and accurate detection of Kikuchi bands arising from primary electron beam excitation energies of 4 keV to 28 keV, with the optimal contrast occurring in the range of 8-16 keV. The diffraction pattern acquisition speed is substantially improved via a sparse sampling mode, resulting from the acquisition of a reduced number of pixels on the detector. Standard inpainting algorithms are implemented to effectively estimate the information in the skipped regions in the acquired diffraction pattern. For EBSD mapping, an acquisition speed as high as 5988 scan points per second is demonstrated, with a tolerable fraction of indexed points and accuracy. The collective capabilities spanning from high angular resolution EBSD patterns to high speed pattern acquisition are achieved on the same detector, facilitating simultaneous detection modalities that enable a multitude of advanced EBSD applications, including lattice strain mapping, structural refinement, low-dose characterization, 3D-EBSD and dynamic in situ EBSD.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Direct detection; EBSD; Indexing; Inpainting; SEM; Sparse sampling

Year:  2020        PMID: 33197699     DOI: 10.1016/j.ultramic.2020.113160

Source DB:  PubMed          Journal:  Ultramicroscopy        ISSN: 0304-3991            Impact factor:   2.689


  1 in total

1.  Insights into a dual-phase steel microstructure using EBSD and image-processing-based workflow.

Authors:  Maxime Mollens; Stéphane Roux; François Hild; Adrien Guery
Journal:  J Appl Crystallogr       Date:  2022-06-01       Impact factor: 4.868

  1 in total

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