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VIDEO

Versatile and Innovative Detector for Electron Optics

Total Cost €

EC-Contrib. €

Partnership

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VIDEO project word cloud

Explore the words cloud of the VIDEO project. It provides you a very rough idea of what is the project "VIDEO" about.

pixel techniques imagine hardware infancy combine starting business single basic integral platform models grant longer professionalize point quantitative channel model data detector intensity formats sustain detectors qualitative powerful collections integrate standards images complete off standardized software scripts video provides last experiments experimental transmission scanning full microscopy first efficient ing tool scattered solutions technique signals file vendors separate interoperable electromagnetic electron capture stem scanned efforts frames sustainability ultra supplemented magnified area resolution groups nanoscale time microscope standard underlying explore analytical image erc pixelated

Project "VIDEO" data sheet

The following table provides information about the project.

Coordinator	FORSCHUNGSZENTRUM JULICH GMBH Organization address address: WILHELM JOHNEN STRASSE city: JULICH postcode: 52428 website: www.fz-juelich.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Germany [DE]
Total cost	150˙000 €
EC max contribution	150˙000 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2017-PoC
Funding Scheme	ERC-POC
Starting year	2018
Duration (year-month-day)	from 2018-01-01 to 2019-06-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	FORSCHUNGSZENTRUM JULICH GMBH FORSCHUNGSZENTRUM JULICH GMBH Organization address address: WILHELM JOHNEN STRASSE city: JULICH postcode: 52428 website: www.fz-juelich.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (JULICH)	coordinator	150˙000.00

Map

Project objective

The VIDEO project will professionalize and integrate software and develop open standard file formats for electron microscopy based on results from the ERC Advanced Grant project IMAGINE, supplemented with results and support from other research groups and hardware vendors. Our goal is to combine these separate activities into an open software platform and to develop open standards, which will enable vendors and users to develop interoperable solutions in this area, and to explore business and sustainability models.

Over the last 20 years, electron microscopy has developed from a technique that provides magnified images to become a complex ultra-high resolution analytical tool. Data sets are no longer single qualitative images, but collections of quantitative multi-channel signals. This new approach to using an electron microscope makes developing software to control the experiments and to process the resulting data an integral part of creating and improving electron microscopy techniques.

Recently, pixelated detectors have been developed for scanning transmission electron microscopy. For the first time, they allow efficient capture of complete frames of scattered intensity for each scanned pixel. We have been using such novel pixelated detectors to measure nanoscale electromagnetic fields as part of the underlying ERC Advanced Grant IMAGINE. However, software support for these detectors is still in its infancy, with image capture and very basic analysis capabilities provided by the detector vendors and experimental one-off data analysis scripts developed by users.

The goal of the VIDEO project is to combine these efforts by creating full software support for pixelated STEM and finding a business model to sustain this open platform as a powerful starting point for an open, interoperable and standardized software platform for electron microscopy.

Publications

List of publications.
year	authors and title	journal	last update
2018	\"https://libertem.github.io/LiberTEM/acknowledgments.html#creators\" LiberTEM - Open Pixelated STEM platform published pages: , ISSN: , DOI: 10.5281/zenodo.1477847		2019-11-14
2019	Dieter Weber, Alexander Clausen, Rafal E. Dunin-Borkowski Next-generation information technology systems for fast detectors in electron microscopy(in print) published pages: , ISSN: , DOI:	Handbook on Big Data and Machine Learning: Vol 2 (Adv Analysis Solutions for Leading Experimental Techniques)	2019-11-14
2018	Dieter Weber Evolution of IT system and TEM camera performance published pages: , ISSN: , DOI: 10.5281/zenodo.1634383		2019-11-14

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The information about "VIDEO" are provided by the European Opendata Portal: CORDIS opendata.