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Iterative Reconstruction for Increased Imaging Throughput in Lab-based 3D XRM

Published online by Cambridge University Press:  10 August 2018

Matthew Andrew*
Affiliation:
Carl Zeiss Microscopy, Pleasanton, CA, USA
William Thompson
Affiliation:
Carl Zeiss Microscopy, Pleasanton, CA, USA
Arjun Kumar
Affiliation:
Carl Zeiss Microscopy, Pleasanton, CA, USA
Benjamin Hornberger
Affiliation:
Carl Zeiss Microscopy, Pleasanton, CA, USA
*
*Corresponding author, matthew.andrew@zeiss.com

Abstract

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Type
Abstract
Copyright
© Microscopy Society of America 2018 

References

[1] Feldkamp, LA, Davis, LC Kress, JW J. Opt. Soc. Am. A 1 1984) p. 612.CrossRefGoogle Scholar
[2] Fessler, J inHandb. Med. Imaging Vol. 2. Med. Image Process. Anal.", ed. JM Fitzpatrick and Milan Sonka, (SPIE Digital Library), p. 1.Google Scholar
[3] Lin, Q, et al, Adv. Water Resour. 2018) in press. DOI: 10.1016/j.advwatres.2018.03.007.Google Scholar