Machine learning in scanning transmission electron microscopy

SV Kalinin, C Ophus, PM Voyles, R Erni… - Nature Reviews …, 2022 - nature.com
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 …

Converting nanotoxicity data to information using artificial intelligence and simulation

X Yan, T Yue, DA Winkler, Y Yin, H Zhu… - Chemical …, 2023 - ACS Publications
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 …

Deciphering chemical order/disorder and material properties at the single-atom level

Y Yang, CC Chen, MC Scott, C Ophus, R Xu, A Pryor… - Nature, 2017 - nature.com
Perfect crystals are rare in nature. Real materials often contain crystal defects and chemical
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 …

Real-time 3D analysis during electron tomography using tomviz

J Schwartz, C Harris, J Pietryga, H Zheng… - Nature …, 2022 - nature.com
The demand for high-throughput electron tomography is rapidly increasing in biological and
material sciences. However, this 3D imaging technique is computationally bottlenecked by …

Classification and biological identity of complex nano shapes

L Boselli, H Lopez, W Zhang, Q Cai… - Communications …, 2020 - nature.com
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 …

[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 …

Tutorial on the Visualization of Volumetric Data Using tomviz

BDA Levin, Y Jiang, E Padgett, S Waldon… - Microscopy …, 2018 - academic.oup.com
Tomography produces complex volumetric datasets containing the entire internal structure
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 …

Data-driven electron microscopy: Electron diffraction imaging of materials structural properties

JM Zuo, R Yuan, YT Shao, HW Hsiao, S Pidaparthy… - …, 2022 - academic.oup.com
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 …