Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-24T16:52:46.034Z Has data issue: false hasContentIssue false
  • English
  • Français

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

Published online by Cambridge University Press:  10 August 2018

Matthew Andrew ,
William Thompson ,
Arjun Kumar  and
Benjamin Hornberger
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, [email protected]

Abstract

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Abstract
Information
Microscopy and Microanalysis , Volume 24 , Supplement S2: Proceedings of the 14th International Conference on X-ray Microscopy (XRM2018) , August 2018 , pp. 116 - 117
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