Machine learning in scanning transmission electron microscopy
Scanning transmission electron microscopy (STEM) has emerged as a uniquely powerful
tool for structural and functional imaging of materials on the atomic level. Driven by …
tool for structural and functional imaging of materials on the atomic level. Driven by …
Converting nanotoxicity data to information using artificial intelligence and simulation
Decades of nanotoxicology research have generated extensive and diverse data sets.
However, data is not equal to information. The question is how to extract critical information …
However, data is not equal to information. The question is how to extract critical information …
Deciphering chemical order/disorder and material properties at the single-atom level
Perfect crystals are rare in nature. Real materials often contain crystal defects and chemical
order/disorder such as grain boundaries, dislocations, interfaces, surface reconstructions …
order/disorder such as grain boundaries, dislocations, interfaces, surface reconstructions …
Deep learning in electron microscopy
JM Ede - Machine Learning: Science and Technology, 2021 - iopscience.iop.org
Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …
microscopy. This review paper offers a practical perspective aimed at developers with …
Real-time 3D analysis during electron tomography using tomviz
The demand for high-throughput electron tomography is rapidly increasing in biological and
material sciences. However, this 3D imaging technique is computationally bottlenecked by …
material sciences. However, this 3D imaging technique is computationally bottlenecked by …
Classification and biological identity of complex nano shapes
Everywhere in our surroundings we increasingly come in contact with nanostructures that
have distinctive complex shape features on a scale comparable to the particle itself. Such …
have distinctive complex shape features on a scale comparable to the particle itself. Such …
[HTML][HTML] Beyond the standard model of solubilization: Non-ionic surfactants induce collapse of lipid vesicles into rippled bilamellar nanodiscs
VA Bjørnestad, F Soto-Bustamante, G Tria… - Journal of Colloid and …, 2023 - Elsevier
Hypothesis Although solubilization of lipid membranes has been studied extensively,
questions remain regarding the structural pathways and metastable structures involved. This …
questions remain regarding the structural pathways and metastable structures involved. This …
Tutorial on the Visualization of Volumetric Data Using tomviz
Tomography produces complex volumetric datasets containing the entire internal structure
and density of an object in three dimensions (3D). Interpreting volumetric data requires 3D …
and density of an object in three dimensions (3D). Interpreting volumetric data requires 3D …
A quantitative methodology for the study of particle–electrode impacts
CA Little, R Xie, C Batchelor-McAuley… - Physical Chemistry …, 2018 - pubs.rsc.org
Herein we provide a generic framework for use in the acquisition and analysis of the
electrochemical responses of individual nanoparticles, summarising aspects that must be …
electrochemical responses of individual nanoparticles, summarising aspects that must be …
Data-driven electron microscopy: Electron diffraction imaging of materials structural properties
Transmission electron diffraction is a powerful and versatile structural probe for the
characterization of a broad range of materials, from nanocrystalline thin films to single …
characterization of a broad range of materials, from nanocrystalline thin films to single …