Deep Learning-enabled Coherent Imaging Achieves Early Detection and Classification of Bacteria in Water Samples

  • Hongda Wang
  • , Hatice Ceylan Koydemir
  • , Yunzhe Qiu
  • , Bijie Bai
  • , Yibo Zhang
  • , Yiyin Jin
  • , Sabiha Tok
  • , Enis Cagatay Yilmaz
  • , Esin Gumustekin
  • , Yair Rivenson
  • , Aydogan Ozcan

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

1 Scopus citations

Abstract

Using deep learning and lensfree holographic imaging, we report early detection and classification of bacterial colonies in water samples. Our system detects 1 colony-forming unit (CFU) per Liter within 9 h of total test time.

Original languageEnglish
Title of host publication2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781943580910
StatePublished - 1 May 2021
Externally publishedYes
Event2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Virtual, Online, United States
Duration: 9 May 202114 May 2021

Publication series

Name2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings

Conference

Conference2021 Conference on Lasers and Electro-Optics, CLEO 2021
Country/TerritoryUnited States
CityVirtual, Online
Period9/05/2114/05/21

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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