Deep-learning-based computational biomedical microscopy with uncertainty quantification

Lei Tian, Yujia Xue, Shiyi Cheng, Yunzhe Li, Yi Ji

Research output: Chapter in Book/Report/Conference proceedingConference contribution


I will present several deep learning based computational microscopy techniques including phase microscopy and imaging oximetry. Emphasis will be put on an uncertainty quantification framework for assessing the reliability of these techniques.

Original languageEnglish (US)
Title of host publicationCLEO
Subtitle of host publicationApplications and Technology, CLEO_AT 2020
PublisherOptica Publishing Group (formerly OSA)
ISBN (Print)9781943580767
StatePublished - 2020
Externally publishedYes
EventCLEO: Applications and Technology, CLEO_AT 2020 - Washington, United States
Duration: May 10 2020May 15 2020

Publication series

NameOptics InfoBase Conference Papers
VolumePart F181-CLEO-AT 2020
ISSN (Electronic)2162-2701


ConferenceCLEO: Applications and Technology, CLEO_AT 2020
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials


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