Please use this identifier to cite or link to this item: doi:10.22028/D291-36360
Title: High temporal-resolution scanning transmission electron microscopy using sparse-serpentine scan pathways
Author(s): Ortega, Eduardo
Nicholls, Daniel
Browning, Nigel D.
de Jonge, Niels
Language: English
Title: Scientific Reports
Volume: 11
Issue: 1
Publisher/Platform: Springer Nature
Year of Publication: 2021
Free key words: Nanoparticles
Scanning electron microscopy
Transmission electron microscopy
DDC notations: 500 Science
Publikation type: Journal Article
Abstract: Scanning transmission electron microscopy (STEM) provides structural analysis with sub-angstrom resolution. But the pixel-by-pixel scanning process is a limiting factor in acquiring high-speed data. Different strategies have been implemented to increase scanning speeds while at the same time minimizing beam damage via optimizing the scanning strategy. Here, we achieve the highest possible scanning speed by eliminating the image acquisition dead time induced by the beam flyback time combined with reducing the amount of scanning pixels via sparse imaging. A calibration procedure was developed to compensate for the hysteresis of the magnetic scan coils. A combination of sparse and serpentine scanning routines was tested for a crystalline thin film, gold nanoparticles, and in an in-situ liquid phase STEM experiment. Frame rates of 92, 23 and 5.8 s-1 were achieved for images of a width of 128, 256, and 512 pixels, respectively. The methods described here can be applied to single-particle tracking and analysis of radiation sensitive materials.
DOI of the first publication: 10.1038/s41598-021-02052-1
URL of the first publication:
Link to this record: urn:nbn:de:bsz:291--ds-363601
ISSN: 2045-2322
Date of registration: 3-Jun-2022
Description of the related object: Supplementary Information
Related object:*~hmac=7e1e442b0b6df509681eb45f75cdc6658b11c3071057ed6f1d74c67178f189f5
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Physik
Professorship: NT - Keiner Professur zugeordnet
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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