Free, flexible and fast: Orientation mapping using the multi-core and GPU-accelerated template matching capabilities in the Python-based open source 4D-STEM analysis toolbox Pyxem

Free, flexible and fast: Orientation mapping using the multi-core and GPU-accelerated template matching capabilities in the Python-based open source 4D-STEM analysis toolbox Pyxem

This work presents the new template matching capabilities implemented in Pyxem, an open source Python library for analyzing four-dimensional scanning transmission electron microscopy (4D-STEM) data. Template matching is a brute force approach for deriving local crystal orientations. It works by comp...

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Bibliographic Details
Main Authors: Ånes, H.W (Author), Cautaerts, N. (Author), Crout, P. (Author), Dehm, G. (Author), Jeong, J. (Author), Liebscher, C.H (Author), Prestat, E. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2022
Subjects:
acceleration
Article
Brute-force approach
CPU cores
crystal
Crystal orientation
data visualization
ecosystem
electron diffraction
Electron diffraction
Electrons
four-dimensional imaging
GPU acceleration
graphical processing unit
Graphical processing unit acceleration
Graphical processing units
Graphics processing unit
High level languages
High resolution transmission electron microscopy
image processing
Mapping
Multi-cores
Nanobeam electron diffraction
nanocrystal
Nanocrystalline materials
Nanocrystals
Open source
open source software
Open-source
Orientation mapping
performance
Precession electron diffraction
Precession electron diffractions
precipitation
Python
reliability
reproducibility
Scanning electron microscopy
scanning transmission electron microscopy
Scanning transmission electron microscopy
Scanning/transmission electron microscopy
Template matching
validation process
velocity
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