Compact and Field Portable Biophotonic Sensors for Automated Cell Identification (Plenary Address)

Bahram Javidi; Timothy O’Connor; Arun Anand; Inkyu Moon; Adrian Stern; Manuel Martinez-Corral

doi:10.1007/978-981-15-9259-1_4

Compact and Field Portable Biophotonic Sensors for Automated Cell Identification (Plenary Address)

Bahram Javidi, Timothy O’Connor, Arun Anand, Inkyu Moon, Adrian Stern, Manuel Martinez-Corral

Unit of Photonics and Electro-Optics Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

In this Plenary address paper, we overview recently published work for automated cell identification using 3D optical imaging in compact and field portable biophotonic sensors. Digital holographic microscopy systems and lensless pseudorandom phase encoding systems capture 3D information of biological cells and make highly accurate automated cell identification possible. Overviewed systems include sickle cell disease diagnosis based on spatio-temporal cell dynamics in a field-portable 3D-printed shearing digital holography as well as lensless cell identification of both single and multicell samples using pseudorandom phase encoding.

Original language	English GB
Pages	15-18
Number of pages	4
DOIs	https://doi.org/10.1007/978-981-15-9259-1_4
State	Published - 1 Jan 2021
Event	International Conference on Optics and Electro-optics, ICOL 2019 - Dehradun, India Duration: 19 Oct 2019 → 22 Oct 2019

Conference

Conference	International Conference on Optics and Electro-optics, ICOL 2019
Country/Territory	India
City	Dehradun
Period	19/10/19 → 22/10/19

Keywords

3D imaging
Digital holography
Medical and biological imaging
Three-dimensional microscopy

ASJC Scopus subject areas

Physics and Astronomy (all)

Access to Document

10.1007/978-981-15-9259-1_4

Cite this

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abstract = "In this Plenary address paper, we overview recently published work for automated cell identification using 3D optical imaging in compact and field portable biophotonic sensors. Digital holographic microscopy systems and lensless pseudorandom phase encoding systems capture 3D information of biological cells and make highly accurate automated cell identification possible. Overviewed systems include sickle cell disease diagnosis based on spatio-temporal cell dynamics in a field-portable 3D-printed shearing digital holography as well as lensless cell identification of both single and multicell samples using pseudorandom phase encoding.",

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AU - Javidi, Bahram

AU - O’Connor, Timothy

AU - Anand, Arun

AU - Moon, Inkyu

AU - Stern, Adrian

AU - Martinez-Corral, Manuel

PY - 2021/1/1

Y1 - 2021/1/1

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AB - In this Plenary address paper, we overview recently published work for automated cell identification using 3D optical imaging in compact and field portable biophotonic sensors. Digital holographic microscopy systems and lensless pseudorandom phase encoding systems capture 3D information of biological cells and make highly accurate automated cell identification possible. Overviewed systems include sickle cell disease diagnosis based on spatio-temporal cell dynamics in a field-portable 3D-printed shearing digital holography as well as lensless cell identification of both single and multicell samples using pseudorandom phase encoding.

KW - 3D imaging

KW - Digital holography

KW - Medical and biological imaging

KW - Three-dimensional microscopy

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Compact and Field Portable Biophotonic Sensors for Automated Cell Identification (Plenary Address)

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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