ArticleMicroscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada2010
Simulating STEM imaging of nanoparticles in micrometers-thick substrates.
Article in Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Tunability of Interactions between the Core and Shell in Rattle-Type Particles Studied with Liquid-Cell Electron Microscopy.ACS nano · 2021Article
- Article
- Xenon solubility and formation of supercritical xenon precipitates in glasses under non-equilibrium conditions.Scientific reports · 2018Article
- Quantification and optimization of ADF-STEM image contrast for beam-sensitive materials.Royal Society open science · 2018Article
- Dark-field image contrast in transmission scanning electron microscopy: Effects of substrate thickness and detector collection angle.Ultramicroscopy · 2016Article
- Simulating realistic imaging conditions for in situ liquid microscopy.Ultramicroscopy · 2013Article
- The probe profile and lateral resolution of scanning transmission electron microscopy of thick specimens.Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada · 2012Article
- Electron microscopy of specimens in liquid.Nature nanotechnology · 2011Review
- Fully hydrated yeast cells imaged with electron microscopy.Biophysical journal · 2011Article
- Atomic-resolution scanning transmission electron microscopy through 50-nm-thick silicon nitride membranes.Applied physics letters · 2011Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Scanning transmission electron microscope (STEM) images of three-dimensional (3D) samples were simulated. The samples consisted of a micrometer(s)-thick substrate and gold nanoparticles at various vertical positions. The atomic number (Z) contrast as obtained via the annular dark-field detector was generated. The simulations were carried out using the Monte Carlo method in the CASINO software (freeware). The software was adapted to include the STEM imaging modality, including the noise characteristics of the electron source, the conical shape of the beam, and 3D scanning. Simulated STEM images of nanoparticles on a carbon substrate revealed the influence of the electron dose on the visibility of the nanoparticles. The 3D datasets obtained by simulating focal series showed the effect of beam broadening on the spatial resolution and on the signal-to-noise ratio. Monte Carlo simulations of STEM imaging of nanoparticles on a thick water layer were compared with experimental data by programming the exact sample geometry. The simulated image corresponded to the experimental image, and the signal-to-noise levels were similar. The Monte Carlo simulation strategy described here can be used to calculate STEM images of objects of an arbitrary geometry and amorphous sample composition. This information can then be used, for example, to optimize the microscope settings for imaging sessions where a low electron dose is crucial for the design of equipment, or for the analysis of the composition of a certain specimen.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.