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A Comparative Study of Three Marker Detection Algorithms in Electron Tomography

Published online by Cambridge University Press:  25 July 2016

Patrick Trampert ,
Sviatoslav Bogachev ,
Tim Dahmen  and
Philipp Slusallek
Patrick Trampert
Affiliation:
German Research Center for Artificial Intelligence GmbH (DFKI), 66123 Saarbrücken, Germany Saarland University, 66123 Saarbrücken, Germany
Sviatoslav Bogachev
Affiliation:
German Research Center for Artificial Intelligence GmbH (DFKI), 66123 Saarbrücken, Germany Saarland University, 66123 Saarbrücken, Germany
Tim Dahmen
Affiliation:
German Research Center for Artificial Intelligence GmbH (DFKI), 66123 Saarbrücken, Germany Saarland University, 66123 Saarbrücken, Germany
Philipp Slusallek
Affiliation:
German Research Center for Artificial Intelligence GmbH (DFKI), 66123 Saarbrücken, Germany Saarland University, 66123 Saarbrücken, Germany

Abstract

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Abstract
Information
Microscopy and Microanalysis , Volume 22 , Supplement S3: Proceedings of Microscopy & Microanalysis 2016 , July 2016 , pp. 1044 - 1045
Copyright
© Microscopy Society of America 2016 

References

References:

[1] Trampert, P, et al, Microsc. Microanalysis (2015 Dec) 21(6), 1591–1601.Google Scholar
[2] Dahmen, T, et al, Ultramicroscopy (2016 Feb) vol. 161, 110–118.CrossRefGoogle Scholar
[3] Brandt, , et al, J. Struct. Biol (2001 Jan) vol. 133, 10–22.Google Scholar
[4] Amat, , et al, J. Struct. Biol (2008) vol. 161, 260–275.CrossRefGoogle Scholar
[5] Cao, , et al, J. Electron Microsc (2011 Jan) vol. 60, 39–46.CrossRefGoogle Scholar
[6] Diebolder, , et al, 2014 Mar, vol. 343: 1260-3.CrossRefGoogle Scholar
[7] Research has been funded within the European Research Project NOTOX (FP7-267038). The authors thank the DFKI GmbH for additional funding and for providing the necessary infrastructure.Google Scholar