Automated disease identification using computational 3D optical sensing and imaging systems

Arun Anand, Inkyu Moon, Eriko Watanabe, Adrian Stern, Bahram Javidi

Research output: Contribution to conferencePaperpeer-review

Abstract

In this invited paper, we present an overview of our reported work on 3D sensing and imaging applied to automated cell identification. The sensing and imaging methods include digital holographic imaging, interferometric systems, and integral imaging. We show that 3D sensing and imaging approaches combined with appropriate pattern recognition algorithms provide an impressive approach for automated cell identification with compact field portable systems.

Original languageEnglish GB
DOIs
StatePublished - 18 Jul 2016
EventComputational Optical Sensing and Imaging, COSI 2016 - Heidelberg, Germany
Duration: 25 Jul 201628 Jul 2016

Conference

ConferenceComputational Optical Sensing and Imaging, COSI 2016
Country/TerritoryGermany
CityHeidelberg
Period25/07/1628/07/16

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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