Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-28T10:58:43.677Z Has data issue: false hasContentIssue false

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

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
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