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

Abstract

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
PublisherOSA - The Optical Society
ISBN (Electronic)9781557528209
DOIs
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

Conference

ConferenceCLEO: Applications and Technology, CLEO_AT 2020
CountryUnited States
CityWashington
Period5/10/205/15/20

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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