Hostname: page-component-78c5997874-xbtfd Total loading time: 0 Render date: 2024-11-09T13:53:37.935Z Has data issue: false hasContentIssue false
  • English
  • Français

Generative Adversarial Networks Enable Cross-Modality Super-Resolution in Fluorescence Microscopy

Published online by Cambridge University Press:  05 August 2019

Hongda Wang ,
Yair Rivenson ,
Yiyin Jin ,
Zhensong Wei ,
Ronald Gao ,
Harun Günaydın ,
Laurent A. Bentolila ,
Comert Kural  and
Aydogan Ozcan
Hongda Wang
Affiliation:
Electrical & Computer Engineering Department, University of California, Los Angeles, Los Angeles, USA Bioengineering Department, University of California, Los Angeles, Los Angeles, USA California NanoSystems Institute, University of California, Los Angeles, Los Angeles, USA
Yair Rivenson
Affiliation:
Electrical & Computer Engineering Department, University of California, Los Angeles, Los Angeles, USA Bioengineering Department, University of California, Los Angeles, Los Angeles, USA California NanoSystems Institute, University of California, Los Angeles, Los Angeles, USA
Yiyin Jin
Affiliation:
Electrical & Computer Engineering Department, University of California, Los Angeles, Los Angeles, USA
Zhensong Wei
Affiliation:
Electrical & Computer Engineering Department, University of California, Los Angeles, Los Angeles, USA
Ronald Gao
Affiliation:
Computer Science Department, University of California, Los Angeles, Los Angeles, USA
Harun Günaydın
Affiliation:
Electrical & Computer Engineering Department, University of California, Los Angeles, Los Angeles, USA
Laurent A. Bentolila
Affiliation:
California NanoSystems Institute, University of California, Los Angeles, Los Angeles, USA Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, USA
Comert Kural
Affiliation:
Department of Physics, Ohio State University, Columbus, USA Biophysics Graduate Program, Ohio State University, Columbus, USA
Aydogan Ozcan*
Affiliation:
Electrical & Computer Engineering Department, University of California, Los Angeles, Los Angeles, USA Bioengineering Department, University of California, Los Angeles, Los Angeles, USA California NanoSystems Institute, University of California, Los Angeles, Los Angeles, USA Department of Surgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, 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
Light and Fluorescence Microscopy for Imaging Cell Surface and Cell Structure
Information
Microscopy and Microanalysis , Volume 25 , Supplement S2 , August 2019 , pp. 1228 - 1229
Copyright
Copyright © Microscopy Society of America 2019 

References

[1]Goodfellow, IJ et al. , ArXiv14062661 Cs Stat (2014).Google Scholar
[2]Wang, H et al. , Nature Methods 16 (2019), p. 103.Google Scholar
[3]Li, D et al. , Science 349 (2015), p. aab3500.Google Scholar
[4]HW and YR are equal contributing authors.Google Scholar