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Label-free Bio-aerosol Sensing Using On-Chip Holographic Microscopy and Deep Learning

  • Yichen Wu
  • , Ayfer Calis
  • , Yi Luo
  • , Cheng Chen
  • , Maxwell Lutton
  • , Yair Rivenson
  • , Xing Lin
  • , Hatice Ceylan Koydemir
  • , Yibo Zhang
  • , Hongda Wang
  • , Zoltan Gorocs
  • , Aydogan Ozcan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We present automated and label-free bio-aerosol sensing using a portable and cost-effective device, enabled by on-chip digital holographic microscopy and deep-learning.

Original languageEnglish
Title of host publication2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781943580576
DOIs
StatePublished - 1 May 2019
Externally publishedYes
Event2019 Conference on Lasers and Electro-Optics, CLEO 2019 - San Jose, United States
Duration: 5 May 2019 → 10 May 2019

Publication series

Name2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings

Conference

Conference2019 Conference on Lasers and Electro-Optics, CLEO 2019
Country/TerritoryUnited States
CitySan Jose
Period5/05/19 → 10/05/19

ASJC Scopus subject areas

  • Spectroscopy
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality
  • Management, Monitoring, Policy and Law
  • Electronic, Optical and Magnetic Materials
  • Radiology Nuclear Medicine and imaging
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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