TY - GEN
T1 - Single-cell-trapping Microarrays with High Trapping Efficiency and Negligible Shear Stress
AU - Yu, Miao
AU - Xiang, Cheng
AU - Shao, Jin Yu
AU - Qin, Kai Rong
N1 - Funding Information:
* This work was supported by National Natural Science Foundation of China (Grant No. 11672065).
Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/21
Y1 - 2018/8/21
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85053103346&partnerID=8YFLogxK
U2 - 10.1109/ICCA.2018.8444175
DO - 10.1109/ICCA.2018.8444175
M3 - Conference contribution
AN - SCOPUS:85053103346
SN - 9781538660898
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 142
EP - 146
BT - 2018 IEEE 14th International Conference on Control and Automation, ICCA 2018
PB - IEEE Computer Society
T2 - 14th IEEE International Conference on Control and Automation, ICCA 2018
Y2 - 12 June 2018 through 15 June 2018
ER -