Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-26T15:31:28.363Z Has data issue: false hasContentIssue false
  • English
  • Français

Deep Learning-Based Point-Scanning Super-Resolution Microscopy

Published online by Cambridge University Press:  30 July 2021

Uri Manor ,
Linjing Fang ,
Fred Monroe ,
Sammy Weiser Novak ,
Lyndsey Kirk ,
Cara R. Schiavon ,
Seungyoon B. Yu ,
Tong Zhang ,
Melissa Wu  and
Kyle Kastner
...Show all authors
Uri Manor*
Affiliation:
Waitt Advanced Biophotonics Center, Salk Institute for Biological Studies, La Jolla, CA, USA
Linjing Fang
Affiliation:
Waitt Advanced Biophotonics Center, Salk Institute for Biological Studies, La Jolla, CA, USA
Fred Monroe
Affiliation:
Wicklow AI Medical Research Initiative, San Francisco, CA, USA
Sammy Weiser Novak
Affiliation:
Waitt Advanced Biophotonics Center, Salk Institute for Biological Studies, La Jolla, CA, USA
Lyndsey Kirk
Affiliation:
Department of Neuroscience, Center for Learning and Memory, Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA
Cara R. Schiavon
Affiliation:
Waitt Advanced Biophotonics Center, Salk Institute for Biological Studies, La Jolla, CA, USA
Seungyoon B. Yu
Affiliation:
Neurobiology Section, Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
Tong Zhang
Affiliation:
Waitt Advanced Biophotonics Center, Salk Institute for Biological Studies, La Jolla, CA, USA
Melissa Wu
Affiliation:
Waitt Advanced Biophotonics Center, Salk Institute for Biological Studies, La Jolla, CA, USA
Kyle Kastner
Affiliation:
Montreal Institute for Learning Algorithms, Université de Montréal, Canada
Alaa Abdel Latif
Affiliation:
Fast.AI, University of San Francisco Data Institute, San Francisco, CA, USA
Zijun Lin
Affiliation:
Fast.AI, University of San Francisco Data Institute, San Francisco, CA, USA
Andrew Shaw
Affiliation:
Fast.AI, University of San Francisco Data Institute, San Francisco, CA, USA
Yoshiyuki Kubota
Affiliation:
Division of Cerebral Circuitry, National Institute for Physiological Sciences, Okazaki, 444-8787Japan
John Mendenhall
Affiliation:
Department of Neuroscience, Center for Learning and Memory, Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA
Zhao Zhang
Affiliation:
Texas Advanced Computing Center, University of Texas at Austin, Austin, TX, USA
Gulcin Pekkurnaz
Affiliation:
Neurobiology Section, Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
Kristen Harris
Affiliation:
Department of Neuroscience, Center for Learning and Memory, Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA
Jeremy Howard
Affiliation:
Fast.AI, University of San Francisco Data Institute, San Francisco, CA, USA
*
*Presenting 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
Full System and Workflow Automation for Enabling Big Data and Machine Learning in Electron Microscopy
Information
Microscopy and Microanalysis , Volume 27 , Supplement S1 , August 2021 , pp. 2516 - 2517
Check for updates
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

Fang, et al. , "Deep learning-based point-scanning super-resolution imaging", Nature Methods, In PressGoogle Scholar