Please use this identifier to cite or link to this item: doi:10.22028/D291-37043
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Title: Strategy for optimizing experimental settings for studying low atomic number colloidal assemblies using liquid phase scanning transmission electron microscopy
Author(s): Kunnas, Peter Viktor
Moradi, Mohammad-Amin
Sommerdijk, Nico
de Jonge, Niels
Language: English
Title: Ultramicroscopy
Volume: 240
Publisher/Platform: Elsevier
Year of Publication: 2022
DDC notations: 530 Physics
Publikation type: Journal Article
Abstract: Observing processes of nanoscale materials of low atomic number is possible using liquid phase electron microscopy (LP-EM). However, the achievable spatial resolution (d) is limited by radiation damage. Here, we examine a strategy for optimizing LP-EM experiments based on an analytical model and experimental measurements, and develop a method for quantifying image quality at ultra low electron dose De using scanning transmission electron microscopy (STEM). As experimental test case we study the formation of a colloidal binary system containing 30 nm diameter SiO2 nanoparticles (SiONPs), and 100 nm diameter polystyrene microspheres (PMs). We show that annular dark field (DF) STEM is preferred over bright field (BF) STEM for practical reasons. Precise knowledge of the material's density is crucial for the calculations in order to match experimental data. To calculate the detectability of nano-objects in an image, the Rose criterion for single pixels is expanded to a model of the signal to noise ratio obtained for multiple pixels spanning the image of an object. Using optimized settings, it is possible to visualize the radiation-sensitive, hierarchical low-Z binary structures, and identify both components.
DOI of the first publication: 10.1016/j.ultramic.2022.113596
URL of the first publication: https://www.sciencedirect.com/science/article/pii/S0304399122001164
Link to this record: urn:nbn:de:bsz:291--ds-370439
hdl:20.500.11880/33719
http://dx.doi.org/10.22028/D291-37043
ISSN: 1879-2723
0304-3991
Date of registration: 5-Sep-2022
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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