EventsThe 7th International Multidisciplinary Conference on Optofluidics 2017
Event submissions
Published
with-doi10.3390/optofluidics2017-04173
This submission belongs to the session 01. Micro-/nano-fluidics of the event The 7th International Multidisciplinary Conference on Optofluidics 2017
Published date
21 Jul, 2017
Citation
Yang Liu, Chao Mao Hsieh, Lip Ket Chin, Hong Fu Chen, Jing Bo Zhang, T. C. Ayi, P. H. Yap, Tarik Bourouina, Yamin Leprince-Wang, Wee Ser, CELL REFRACTIVE INDEX IMAGING FOR REAL-TIME VIRUS INFECTION, in Proceedings of The 7th International Multidisciplinary Conference on Optofluidics 2017, Singapore, 25 July–28 July 2017, MDPI: Basel, Switzerland, doi: 10.3390/optofluidics2017-04173
Share
Email
Facebook
Twitter
LinkedIn

CELL REFRACTIVE INDEX IMAGING FOR REAL-TIME VIRUS INFECTION

Yang Liu 1
Chao Mao Hsieh 2
Lip Ket Chin 2
Hong Fu Chen 2
Jing Bo Zhang 2
T. C. Ayi 3
P. H. Yap 3
Tarik Bourouina 1
image
Yamin Leprince-Wang 1
image
Wee Ser 2
1. Université Paris-Est
2. Nanyang Technological University
3. DSO National Laboratories
Abstract

This paper presents a new optofluidic detection system to measure the absolute refractive index map of host cells.  This new system: cell refractive index tomography, can measure the absolute refractive index map of host cells. During virus infection, cell morphology and the intracellular contents of the host cells are changed. Such changes can be monitored by detecting the refractive index variation. By monitoring of the cell’s refractive index, the detection of virus infection in real-time and label-free is determined.

Keywords
Optofluidic
refractive index map
label-free
Bacterial Cell Incubation and Detection in Automation Microdroplet System
Experimental and theoretical analysis of spontaneous ion exchangeby diffusion-kinetic ion concentration polarization