Optofluidic detection for virus infection monitoring using effective refractive index

Patricia Yang Liu; Lip Ket Chin; Wee Ser; Teck Choon Ayi; Eric Yap; Tarik Bourouina; Yamin Leprince-Wang

doi:10.1364/CLEO_AT.2015.JW2A.89

Optofluidic detection for virus infection monitoring using effective refractive index

Patricia Yang Liu
, Lip Ket Chin
, Wee Ser
, Teck Choon Ayi
, Eric Yap
, Tarik Bourouina
, Yamin Leprince-Wang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

This paper presents an optofluidic imaging system to detect influenza virus infection via the change of refractive index based on scattering signature. This method allows for a direct monitor of the influenza flu virus.

Original language	English
Title of host publication	CLEO
Subtitle of host publication	Applications and Technology, CLEO-AT 2015
Publisher	Optical Society of America (OSA)
ISBN (Electronic)	9781557529688
DOIs	https://doi.org/10.1364/CLEO_AT.2015.JW2A.89
Publication status	Published - 4 May 2015
Event	CLEO: Applications and Technology, CLEO-AT 2015 - San Jose, United States Duration: 10 May 2015 → 15 May 2015

Publication series

Name	CLEO: Applications and Technology, CLEO-AT 2015

Conference

Conference	CLEO: Applications and Technology, CLEO-AT 2015
Country/Territory	United States
City	San Jose
Period	10/05/15 → 15/05/15

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

More information

10.1364/CLEO_AT.2015.JW2A.89

Cite this

Liu, P. Y., Chin, L. K., Ser, W., Ayi, T. C., Yap, E., Bourouina, T., & Leprince-Wang, Y. (2015). Optofluidic detection for virus infection monitoring using effective refractive index. In CLEO: Applications and Technology, CLEO-AT 2015 Article JW2A.89 (CLEO: Applications and Technology, CLEO-AT 2015). Optical Society of America (OSA). https://doi.org/10.1364/CLEO_AT.2015.JW2A.89

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title = "Optofluidic detection for virus infection monitoring using effective refractive index",

abstract = "This paper presents an optofluidic imaging system to detect influenza virus infection via the change of refractive index based on scattering signature. This method allows for a direct monitor of the influenza flu virus.",

author = "Liu, \{Patricia Yang\} and Chin, \{Lip Ket\} and Wee Ser and Ayi, \{Teck Choon\} and Eric Yap and Tarik Bourouina and Yamin Leprince-Wang",

year = "2015",

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doi = "10.1364/CLEO\_AT.2015.JW2A.89",

language = "English",

series = "CLEO: Applications and Technology, CLEO-AT 2015",

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Liu, PY, Chin, LK, Ser, W, Ayi, TC, Yap, E, Bourouina, T & Leprince-Wang, Y 2015, Optofluidic detection for virus infection monitoring using effective refractive index. in CLEO: Applications and Technology, CLEO-AT 2015., JW2A.89, CLEO: Applications and Technology, CLEO-AT 2015, Optical Society of America (OSA), CLEO: Applications and Technology, CLEO-AT 2015, San Jose, United States, 10/05/15. https://doi.org/10.1364/CLEO_AT.2015.JW2A.89

Optofluidic detection for virus infection monitoring using effective refractive index. / Liu, Patricia Yang; Chin, Lip Ket; Ser, Wee et al.
CLEO: Applications and Technology, CLEO-AT 2015. Optical Society of America (OSA), 2015. JW2A.89 (CLEO: Applications and Technology, CLEO-AT 2015).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Ayi, Teck Choon

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AU - Leprince-Wang, Yamin

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AB - This paper presents an optofluidic imaging system to detect influenza virus infection via the change of refractive index based on scattering signature. This method allows for a direct monitor of the influenza flu virus.

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DO - 10.1364/CLEO_AT.2015.JW2A.89

M3 - Conference article published in proceeding or book

AN - SCOPUS:84935421759

T3 - CLEO: Applications and Technology, CLEO-AT 2015

BT - CLEO

PB - Optical Society of America (OSA)

T2 - CLEO: Applications and Technology, CLEO-AT 2015

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ER -

Optofluidic detection for virus infection monitoring using effective refractive index

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