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Image Registration of Low-Signal-to-Noise STEM Data with Open Source Software

Published online by Cambridge University Press:  05 August 2019

Benjamin H. Savitzky ,
Ismail El Baggari ,
Colin B. Clement ,
Emily Waite ,
Robert Hovden  and
Lena F. Kourkoutis
Benjamin H. Savitzky*
Affiliation:
Department of Physics, Cornell University, Ithaca, NY, USA.
Ismail El Baggari
Affiliation:
Department of Physics, Cornell University, Ithaca, NY, USA.
Colin B. Clement
Affiliation:
Department of Physics, Cornell University, Ithaca, NY, USA.
Emily Waite
Affiliation:
School of Applied & Engineering Physics, Cornell University, Ithaca, NY, USA.
Robert Hovden
Affiliation:
School of Applied & Engineering Physics, Cornell University, Ithaca, NY, USA.
Lena F. Kourkoutis*
Affiliation:
School of Applied & Engineering Physics, Cornell University, Ithaca, NY, USA. Kavli Institute for Nanoscale Science, Cornell University, Ithaca, NY, USA.
*
*Corresponding authors: [email protected] & [email protected]
*Corresponding authors: [email protected] & [email protected]

Abstract

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Type
Data Acquisition Schemes, Machine Learning Algorithms, and Open Source Software Development for Electron Microscopy
Information
Microscopy and Microanalysis , Volume 25 , Supplement S2 , August 2019 , pp. 200 - 201
Copyright
Copyright © Microscopy Society of America 2019 

Footnotes

4

Present address: Dept. of Mater. Sci. and Eng., University of Michigan, Ann Arbor, MI, USA.

5

Present address: NCEM, Molecular Foundry, LBNL, Berkeley, CA, USA.

References

[1]Sang, X and LeBeau, JM, Ultramicroscopy 138 (2014), p. 28.Google Scholar
[2]Berkels, B et al. , Ultramicroscopy 138 (2014), p. 46.Google Scholar
[3]Ophus, C, Ciston, J and Nelson, CT, Ultramicroscopy. 162 (2016), p. 1.Google Scholar
[4]Savitzky, BH et al. , Ultramicroscopy, 191 (2018), p. 56.Google Scholar
[5]Li, X et al. , Nature Methods, 10 (2013), p. 584.Google Scholar
[6]BHS acknowledges support from the NSF GRFP (DGE-1144153). This work was supported by NSF (DMR-1539918, DMR-1429155, DMR-1719875) and DOD AFOSR (FA 9550-16-1-0305). All associated code is open source and freely available at https://github.com/bsavitzky/rigidRegistration, and can be conveniently run through the iPython/Jupyter notebook.Google Scholar