Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-01T21:13:37.225Z Has data issue: false hasContentIssue false
  • English
  • Français

Deep Priors for Ptycho-tomography

Published online by Cambridge University Press:  30 July 2020

Selin Aslan ,
Zhengchun Liu ,
Viktor Nikitin ,
Tekin Bicer ,
Sven Leyffer  and
Doga Gursoy
Selin Aslan
Affiliation:
Argonne National Laboratory, Lemont, Illinois, United States
Zhengchun Liu
Affiliation:
Argonne National Laboratory, Lemont, Illinois, United States
Viktor Nikitin
Affiliation:
Argonne National Laboratory, Lemont, Illinois, United States
Tekin Bicer
Affiliation:
Argonne National Laboratory, Lemont, Illinois, United States
Sven Leyffer
Affiliation:
Argonne National Laboratory, Lemont, Illinois, United States
Doga Gursoy
Affiliation:
Argonne National Laboratory, Lemont, Illinois, United States

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
Advances in Modeling, Simulation, and Artificial Intelligence in Microscopy and Microanalysis for Physical and Biological Systems
Information
Microscopy and Microanalysis , Volume 26 , Supplement S2 , August 2020 , pp. 2466
Check for updates
Copyright
Copyright © Microscopy Society of America 2020

References

[Gürsoy, 2017]. Gürsoy, D.. Direct coupling of tomography and ptychography, Opt. Lett. 42, 3169–3172 (2017).10.1364/OL.42.003169CrossRefGoogle ScholarPubMed
[Aslan, 2019]. Aslan, S., Nikitin, V., Ching, D. J., Bicer, T., Leyffer, S., and Gürsoy, D., Joint ptycho-tomography reconstruction through alternating direction method of multipliers, Opt. Express 27, 9128–9143 (2019).10.1364/OE.27.009128CrossRefGoogle ScholarPubMed
[Nikitin, 2019]. Nikitin, V., Aslan, S., Yao, Y., Bicer, T., Leyffer, S., Mokso, R., and Gürsoy, D.. Photon-limited ptychography of 3D objects via Bayesian reconstruction. OSA Continuum 2, 2948–2968, (2019).10.1364/OSAC.2.002948CrossRefGoogle Scholar