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Sparsity, Parsimony and Data Reduction - Applications across Multi-Dimensional Electron Microscopy

Published online by Cambridge University Press:  04 August 2017

Paul Midgley*
Affiliation:
Department of Materials Science and Metallurgy, University of Cambridge, Cambridge, UK.

Abstract

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Type
Abstract
Copyright
© Microscopy Society of America 2017 

References

[1] Midgley, P.A. & Thomas Angew, J.M. Chem. Int. Ed 53 2014). p. 8614.Google Scholar
[2] Furnival, T., etal, Ultramicroscopy (10.1016/j.ultramic.2016.05.005i.Google Scholar
[3] Nicoletti, O., et al, Nature 502 2013). p. 80.CrossRefGoogle Scholar
[4] Collins, S.M., et al, ACS Photonics 2 2015). p. 1628.Google Scholar
[5] Saghi, Z., et al, Adv. Struct. Chem. Imag 1 2015). p. 7.Google Scholar
[6] The research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007-2013)/ERC grant agreement 291522-3DIMAGE, as well as from the European Union Seventh Framework Programme under Grant Agreement 312483-ESTEEM2 (Integrated Infrastructure Initiative -I3).Google Scholar