Results 41 to 50 of about 1,687,501 (356)

Software tools for automated transmission electron microscopy

open access: yesNature Methods, 2018
The demand for high-throughput data collection in electron microscopy is increasing for applications in structural and cellular biology. Here we present a combination of software tools that enable automated acquisition guided by image analysis for a ...
Martin Schorb   +4 more
semanticscholar   +1 more source

Polyamide-rubber blends: micrscopic studies of the deformation zone [PDF]

open access: yes, 1995
The morphology of injection moulded samples of polyamide—polybutadiene blends (85.15) with an average particle size of 0.3 μm was studied. The samples were fractured in a notched tensile test at crosshead speeds of 10−4 and 1 ms −1 and the structure of ...
Dijkstra, K.   +4 more
core   +8 more sources

Transmission Electron Microscopy on Interface Engineered Superconducting Thin Films [PDF]

open access: yes, 2003
Transmission electron microscopy is used to evaluate different deposition techniques, which optimize the microstructure and physical properties of superconducting thin films.
Bals, Sara   +5 more
core   +3 more sources

Cutaneous collagenous vasculopathy: light and transmission electron microscopy [PDF]

open access: yesAnais Brasileiros de Dermatologia, 2019
Cutaneous collagenous vasculopathy is a rare acquired idiopathic microangiopathy characterized by progressive development of diffuse asymptomatic telangiectasias and histologically by accumulation of collagen type IV around the affected vessels.
Debora Sarzi Sartori   +3 more
doaj   +1 more source

Characterization of metal-organic frameworks by transmission electron microscopy

open access: yesAdvances in Physics: X, 2022
To address the increasing energy consumption and serious environmental problems, it is critical to develop efficient and clean energy conversion and storage devices.
Jialin Zhang, Ningyan Cheng, Binghui Ge
doaj   +1 more source

Insights into radiation damage from atomic resolution scanning transmission electron microscopy imaging of mono-layer CuPcCl$_{16}$ films on graphene [PDF]

open access: yesScientific Reports 2018, 2018
Atomically resolved images of monolayer organic crystals have only been obtained with scanning probe methods so far. On the one hand, they are usually prepared on surfaces of bulk materials, which are not accessible by (scanning) transmission electron microscopy.
arxiv   +1 more source

Scanning ultrafast electron microscopy [PDF]

open access: yes, 2010
Progress has been made in the development of four-dimensional ultrafast electron microscopy, which enables space-time imaging of structural dynamics in the condensed phase. In ultrafast electron microscopy, the electrons are accelerated, typically to 200
Mohammed, Omar F.   +2 more
core   +1 more source

From zirconia to yttria: Sampling the YSZ phase diagram using sputter-deposited thin films

open access: yesAIP Advances, 2016
Yttria-stabilized zirconia (YSZ) thin films with varying composition between 3 mol% and 40 mol% have been prepared by direct-current ion beam sputtering at a substrate temperature of 300 °C, with ideal transfer of the stoichiometry from the target to the
Thomas Götsch   +4 more
doaj   +1 more source

Four-Dimensional Scanning Transmission Electron Microscopy (4D-STEM): From Scanning Nanodiffraction to Ptychography and Beyond

open access: yesMicroscopy and Microanalysis, 2019
Scanning transmission electron microscopy (STEM) is widely used for imaging, diffraction, and spectroscopy of materials down to atomic resolution. Recent advances in detector technology and computational methods have enabled many experiments that record ...
C. Ophus
semanticscholar   +1 more source

Machine Learning Pipeline for Segmentation and Defect Identification from High Resolution Transmission Electron Microscopy Data [PDF]

open access: yes, 2020
In the field of transmission electron microscopy, data interpretation often lags behind acquisition methods, as image processing methods often have to be manually tailored to individual datasets. Machine learning offers a promising approach for fast, accurate analysis of electron microscopy data.
arxiv   +1 more source

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