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Scanning Electron Microscopy and X-Ray Microanalysis

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The article was published on 2017-11-18 and is currently open access. It has received 4328 citations till now. The article focuses on the topics: Scanning confocal electron microscopy & Scanning electron microscope.

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Citations
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PatentDOI

Molecular ruler for scaling down nanostructures

TL;DR: A method of constructing <30-nanometer structures in close proximity with precise spacings is presented that uses the step-by-step application of organic molecules and metal ions as size-controlled resists on predetermined patterns, such as those formed by electron-beam lithography.
Journal ArticleDOI

Serial block−face scanning electron microscopy to reconstruct three−dimensional tissue nanostructure

TL;DR: It is demonstrated that datasets meeting these requirements can be obtained by automated block-face imaging combined with serial sectioning inside the chamber of a scanning electron microscope, opening the possibility of automatically obtaining the electron-microscope-level 3D datasets needed to completely reconstruct the connectivity of neuronal circuits.
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Advances in water treatment by adsorption technology

TL;DR: The protocol describes the development of inexpensive adsorbents from waste materials, which takes only 1–2 days, and an adsorption process taking 15–120 min for the removal of pollutants.
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Review Grain and subgrain characterisation by electron backscatter diffraction

TL;DR: The application of automated electron backscatter diffraction (EBSD) in the scanning electron microscope, to the quantitative analysis of grain and subgrain structures is discussed and compared with conventional methods of quantitative metallography.
References
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NIH Image to ImageJ: 25 years of image analysis

TL;DR: The origins, challenges and solutions of NIH Image and ImageJ software are discussed, and how their history can serve to advise and inform other software projects.
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Fiji: an open-source platform for biological-image analysis

TL;DR: Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis that facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system.
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The ImageJ ecosystem: An open platform for biomedical image analysis

TL;DR: The ImageJ project is used as a case study of how open‐source software fosters its suites of software tools, making multitudes of image‐analysis technology easily accessible to the scientific community.
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Semiconductor drift chamber: an application of a novel charge transport scheme

TL;DR: In this article, the authors describe a novel charge tranport scheme in semiconductors, in which the field responsible for the charge transport is independent of the depletion field, which leads to the following new semiconductor detectors: (1) Semiconductor Draft Chamber; (2) Ultra low capacitance - large semiconductor x-ray spectrometers and photodiodes; and (3) Fully depleted thick CCD.
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Mistakes encountered during automatic peak identification of minor and trace constituents in electron-excited energy dispersive X-ray microanalysis.

TL;DR: A strategy for robust identification of minor and trace elements can be based on application of automatic peak identification with careful inspection of the results followed by multiple linear least-squares peak fitting with complete peak references to systematically remove each identified major element from the spectrum before attempting to assign remaining peaks toMinor and trace constituents.