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

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

doi:10.1364/COSI.2016.CM4D.1

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

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

Unit of Photonics and Electro-Optics Engineering

Research output: Contribution to conference › Paper › peer-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 language	English
DOIs	https://doi.org/10.1364/COSI.2016.CM4D.1
State	Published - 18 Jul 2016
Event	Computational Optical Sensing and Imaging, COSI 2016 - Heidelberg, Germany Duration: 25 Jul 2016 → 28 Jul 2016

Conference

Conference	Computational Optical Sensing and Imaging, COSI 2016
Country/Territory	Germany
City	Heidelberg
Period	25/07/16 → 28/07/16

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

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10.1364/COSI.2016.CM4D.1

Cite this

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title = "Automated disease identification using computational 3D optical sensing and imaging systems",

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.",

author = "Arun Anand and Inkyu Moon and Eriko Watanabe and Adrian Stern and Bahram Javidi",

note = "Publisher Copyright: {\textcopyright} OSA 2016.; Computational Optical Sensing and Imaging, COSI 2016 ; Conference date: 25-07-2016 Through 28-07-2016",

year = "2016",

month = jul,

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doi = "10.1364/COSI.2016.CM4D.1",

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T1 - Automated disease identification using computational 3D optical sensing and imaging systems

AU - Anand, Arun

AU - Moon, Inkyu

AU - Watanabe, Eriko

AU - Stern, Adrian

AU - Javidi, Bahram

PY - 2016/7/18

Y1 - 2016/7/18

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85019512028&partnerID=8YFLogxK

U2 - 10.1364/COSI.2016.CM4D.1

DO - 10.1364/COSI.2016.CM4D.1

M3 - Paper

AN - SCOPUS:85019512028

T2 - Computational Optical Sensing and Imaging, COSI 2016

Y2 - 25 July 2016 through 28 July 2016

ER -

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

Abstract

Conference

ASJC Scopus subject areas

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