Simultaneous measurement of biophysical properties and position of single cells in a microdevice
Tracking the lateral position of single cells and particles plays an important role in evaluating the efficiency of microfluidic cell focusing, separation and sorting. Traditionally, the performance of microfluidic cell separation and sorting is evaluated either by analyzing the input and collected output samples requiring extra multiple steps of off-chip analysis or the use of expensive equipment (e.g., flow cytometry), or by detecting the lateral positions of cells using an expensive high-speed imaging setup with intricate image processing algorithms or laborious manual analysis. Hence, there is a great need to develop a simple approach for the lateral position measurement of flowing particles.
In this study, a Singapore University of Technology and Design (SUTD) research team led by Associate Professor Dr Ye Ai’s developed a microfluidic impedance flow cytometry device for the lateral position measurement of single cells and particles with a novel N-shaped electrode design.
A differential current collected from N-shaped electrodes encodes the trajectory of flowing single particles. A simple analytical expression is derived for the measurement of the particle lateral position based on the relationship between the generating electrical current and the positions of the flowing particles, electrodes and microchannel, eliminating the usage of expensive high-speed camera and computationally intensive image processing or laborious manual analysis.
Principal investigator, Dr. Ai said: “Compared to previously reported impedance-based microfluidic devices for measuring the particle lateral position, we have achieved the highest measurement resolution, highest flow rate and smallest measured particle size (3.6 μm beads). On top of that, this method is more straightforward as the particle lateral position can be calculated directly from a simple analytical expression rather than using indexes, such as transit time and height of the signal peak or using linear mapping with calibration coefficients to transform the index (i.e., the relative difference of the signal peak magnitude) to the electrical estimates of the lateral position.”
This work has been published and was also featured on the cover of 7 November 2019 issue of Lab on a Chip, a top-tier journal focused on research in innovative devices and applications at the micro- and nanoscale. SUTD graduate student, Dahou Yang participated in this research project. This work was supported by the Singapore Ministry of Education.
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