Color holographic microscopy using a deep neural network

  • Tairan Liu
  • , Zhensong Wei
  • , Yair Rivenson
  • , Kevin de Haan
  • , Yibo Zhang
  • , Yichen Wu
  • , Aydogan Ozcan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present a deep learning-based image reconstruction framework for color holographic microscopy, which requires a single hologram taken using three wavelengths, simultaneously illuminating the specimen, to reconstruct its color images.

Original languageEnglish
Title of host publicationCLEO
Subtitle of host publicationApplications and Technology, CLEO_AT 2020
PublisherOptica Publishing Group (formerly OSA)
ISBN (Print)9781943580767
DOIs
StatePublished - 1 Jan 2020
Externally publishedYes
EventCLEO: Applications and Technology, CLEO_AT 2020 - Washington, United States
Duration: 10 May 202015 May 2020

Publication series

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

Conference

ConferenceCLEO: Applications and Technology, CLEO_AT 2020
Country/TerritoryUnited States
CityWashington
Period10/05/2015/05/20

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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