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Automatic Neural Reconstruction from Petavoxel of Electron Microscopy Data

Published online by Cambridge University Press:  25 July 2016

Adi Suissa-Peleg
Affiliation:
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Daniel Haehn
Affiliation:
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Seymour Knowles-Barley
Affiliation:
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
Verena Kaynig
Affiliation:
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Thouis R. Jones
Affiliation:
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
Alyssa Wilson
Affiliation:
Department of Physics, Harvard University, Cambridge, MA, USA
Richard Schalek
Affiliation:
Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
Jeffery W. Lichtman
Affiliation:
Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
Hanspeter Pfister
Affiliation:
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA

Abstract

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Type
Abstract
Copyright
© Microscopy Society of America 2016 

References

References:

[2] Saalfeld, S., et al., Nature Methods 9(7 (2012). p. 717.CrossRefGoogle Scholar
[3] Kaynig, V., et al., Medical Image Analysis 22(1 (2015). p. 77.Google Scholar
[4] Haehn, D., et al., IEEE Transactions on Visualization and Computer Graphics 20(12 (2014). p. 2466.Google Scholar