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doi:10.22028/D291-37043
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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