Correction of STEM Distortions
Pavel Potapov, Giulio Guzzinati
TL;DR
This paper develops correction algorithms for distortions in STEM images, implemented in specific software, serving as a technical reference for improving microscopy image accuracy.
Contribution
It introduces transformation-based correction methods for STEM distortions, integrated into CEOS Panta Rhei and TEMDM software, enhancing image quality.
Findings
Transformations effectively correct STEM distortions.
Algorithms are implemented in widely used microscopy software.
Provides a technical reference for distortion correction methods.
Abstract
The manuscript considers Scanning Transmission Electron Microscopy (STEM) images and derives transformations needed to correct various distortions occurring during scanning. These transformations form the basis for the correction algorithms implemented in the CEOS Panta Rhei and TEMDM software. The manuscript is intended as a technical reference and is meant to be published only on arXiv rather than in peer-reviewed journals.
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