Virtual immunofluorescence staining from reflectance microscopy by deep learning

Shiyi Cheng, Sipei Fu, Yumi Mun Kim, Ji Yi, Lei Tian

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

Abstract

A computational alternative to standard immunofluorescence (IF) imaging based on deep learning model is proposed for transforming morphological information from reflectance microscopy to specific and accurate IF predictions with high multiplicity.

Original languageEnglish (US)
Title of host publicationFrontiers in Optics - Proceedings Frontiers in Optics / Laser Science, Part of Frontiers in Optics + Laser Science APS/DLS, FiO 2020
PublisherThe Optical Society
ISBN (Electronic)9781557528209
DOIs
StatePublished - Sep 14 2020
Event2020 Frontiers in Optics Conference, FiO 2020 - Washington, United States
Duration: Sep 14 2020Sep 17 2020

Publication series

NameOptics InfoBase Conference Papers

Conference

Conference2020 Frontiers in Optics Conference, FiO 2020
Country/TerritoryUnited States
CityWashington
Period9/14/209/17/20

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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