Issue 2, 2014

Sub-micrometer-precision, three-dimensional (3D) hydrodynamic focusing via “microfluidic drifting”

Abstract

In this article, we demonstrate single-layered, “microfluidic drifting” based three-dimensional (3D) hydrodynamic focusing devices with particle/cell focal positioning approaching submicron precision along both lateral and vertical directions. By systematically optimizing channel geometries and sample/sheath flow rates, a series of “microfluidic drifting” based 3D hydrodynamic focusing devices with different curvature angles are designed and fabricated. Their performances are then evaluated using confocal microscopy, fast camera imaging, and side-view imaging techniques. Using a device with a curvature angle of 180°, we have achieved a standard deviation of ±0.45 μm in particle focal position and a coefficient of variation (CV) of 2.37% in flow cytometric measurements. To the best of our knowledge, this is the best CV that has been achieved using a microfluidic flow cytometry device. Moreover, the device showed the capability to distinguish 8 peaks when subjected to a stringent 8-peak rainbow calibration test, signifying the ability to perform sensitive, accurate tests similar to commercial flow cytometers. We have further tested and validated our device by detection of HEK-293 cells. With its advantages in simple fabrication (i.e., single-layered device), precise 3D hydrodynamic focusing (i.e., submicrometer precision along both lateral and vertical directions), and high detection resolution (i.e., low CV), our method could serve as an important basis for high-performance, mass-producible microfluidic flow cytometry.

Graphical abstract: Sub-micrometer-precision, three-dimensional (3D) hydrodynamic focusing via “microfluidic drifting”

Supplementary files

Article information

Article type
Paper
Submitted
08 Jul 2013
Accepted
06 Nov 2013
First published
28 Nov 2013

Lab Chip, 2014,14, 415-423

Sub-micrometer-precision, three-dimensional (3D) hydrodynamic focusing via “microfluidic drifting”

A. A. Nawaz, X. Zhang, X. Mao, J. Rufo, S. S. Lin, F. Guo, Y. Zhao, M. Lapsley, P. Li, J. P. McCoy, S. J. Levine and T. J. Huang, Lab Chip, 2014, 14, 415 DOI: 10.1039/C3LC50810B

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