Single-cell-trapping Microarrays with High Trapping Efficiency and Negligible Shear Stress

Miao Yu, Cheng Xiang, Jin Yu Shao, Kai Rong Qin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this study, two novel hydrodynamics-based radial microarrays are proposed to trap single cells with high trapping efficiency and negligible shear stress. Both microarrays are designed based on a single cell trapping microdevice we designed using a combination of the stagnation point flow and the boundary effect. For each microarray, the efficiency of trapping is evaluated with the flow velocity distribution in the microfluidic channel through two models: an initial model calculates the velocity distribution without cell trapping; in the contrary, a trapping model estimates the velocity distribution when a cell is trapped at the stagnation point. In both models, the flow velocity distribution is obtained using the computational fluid dynamics (CFD) package ANSYS 16.0. We conclude that both microarrays can capture single cells with high trapping success rate and negligible shear stress, which would be effective experimental platforms to study single cell behaviors in response to extracellular stimuli.

Original languageEnglish
Title of host publication2018 IEEE 14th International Conference on Control and Automation, ICCA 2018
PublisherIEEE Computer Society
Pages142-146
Number of pages5
ISBN (Print)9781538660898
DOIs
StatePublished - Aug 21 2018
Event14th IEEE International Conference on Control and Automation, ICCA 2018 - Anchorage, United States
Duration: Jun 12 2018Jun 15 2018

Publication series

NameIEEE International Conference on Control and Automation, ICCA
Volume2018-June
ISSN (Print)1948-3449
ISSN (Electronic)1948-3457

Conference

Conference14th IEEE International Conference on Control and Automation, ICCA 2018
Country/TerritoryUnited States
CityAnchorage
Period06/12/1806/15/18

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