Literature DB >> 25254511

Rapid determination of cell mass and density using digitally controlled electric field in a microfluidic chip.

Yuliang Zhao1, Hok Sum Sam Lai, Guanglie Zhang, Gwo-Bin Lee, Wen Jung Li.   

Abstract

The density of a single cell is a fundamental property of cells. Cells in the same cycle phase have similar volume, but the differences in their mass and density could elucidate each cell's physiological state. Here we report a novel technique to rapidly measure the density and mass of a single cell using an optically induced electrokinetics (OEK) microfluidic platform. Presently, single cellular mass and density measurement devices require a complicated fabrication process and their output is not scalable, i.e., it is extremely difficult to measure the mass and density of a large quantity of cells rapidly. The technique reported here operates on a principle combining sedimentation theory, computer vision, and microparticle manipulation techniques in an OEK microfluidic platform. We will show in this paper that this technique enables the measurement of single-cell volume, density, and mass rapidly and accurately in a repeatable manner. The technique is also scalable - it allows simultaneous measurement of volume, density, and mass of multiple cells. Essentially, a simple time-controlled projected light pattern is used to illuminate the selected area on the OEK microfluidic chip that contains cells to lift the cells to a particular height above the chip's surface. Then, the cells are allowed to "free fall" to the chip's surface, with competing buoyancy, gravitational, and fluidic drag forces acting on the cells. By using a computer vision algorithm to accurately track the motion of the cells and then relate the cells' motion trajectory to sedimentation theory, the volume, mass, and density of each cell can be rapidly determined. A theoretical model of micro-sized spheres settling towards an infinite plane in a microfluidic environment is first derived and validated experimentally using standard micropolystyrene beads to demonstrate the viability and accuracy of this new technique. Next, we show that the yeast cell volume, mass, and density could be rapidly determined using this technology, with results comparable to those using the existing method suspended microchannel resonator.

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Year:  2014        PMID: 25254511     DOI: 10.1039/c4lc00795f

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  9 in total

1.  Measurement of Average Aggregate Density by Sedimentation and Brownian Motion Analysis.

Authors:  Richard E Cavicchi; Jason King; Dean C Ripple
Journal:  J Pharm Sci       Date:  2018-02-01       Impact factor: 3.534

2.  Determination of Cell Membrane Capacitance and Conductance via Optically Induced Electrokinetics.

Authors:  Wenfeng Liang; Yuliang Zhao; Lianqing Liu; Yuechao Wang; Wen Jung Li; Gwo-Bin Lee
Journal:  Biophys J       Date:  2017-10-03       Impact factor: 4.033

3.  Measurement of single leukemia cell's density and mass using optically induced electric field in a microfluidics chip.

Authors:  Yuliang Zhao; Hok Sum Sam Lai; Guanglie Zhang; Gwo-Bin Lee; Wen Jung Li
Journal:  Biomicrofluidics       Date:  2015-04-17       Impact factor: 2.800

4.  Isolation method of Saccharomyces cerevisiae from red blood cells based on the optically induced dielectrophoresis technique for the rapid detection of fungal infections.

Authors:  Mingao Du; Fei Liu; Xiaoli Luan; Gongxin Li
Journal:  Biomed Opt Express       Date:  2022-01-04       Impact factor: 3.732

5.  Flow perfusion rate modulates cell deposition onto scaffold substrate during cell seeding.

Authors:  A Campos Marín; M Brunelli; D Lacroix
Journal:  Biomech Model Mechanobiol       Date:  2017-11-29

Review 6.  Determination of Dielectric Properties of Cells using AC Electrokinetic-based Microfluidic Platform: A Review of Recent Advances.

Authors:  Wenfeng Liang; Xieliu Yang; Junhai Wang; Yuechao Wang; Wenguang Yang; Lianqing Liu
Journal:  Micromachines (Basel)       Date:  2020-05-19       Impact factor: 2.891

7.  A Reliable Flow-Based Method for the Accurate Measure of Mass Density, Size and Weight of Live 3D Tumor Spheroids.

Authors:  Domenico Andrea Cristaldi; Azzurra Sargenti; Simone Bonetti; Francesco Musmeci; Cecilia Delprete; Francesco Bacchi; Simone Pasqua; Carola Cavallo; Laura Bonsi; Francesco Alviano; Daniele Gazzola; Spartaco Santi
Journal:  Micromachines (Basel)       Date:  2020-04-28       Impact factor: 2.891

8.  Physical Characterization of Colorectal Cancer Spheroids and Evaluation of NK Cell Infiltration Through a Flow-Based Analysis.

Authors:  Azzurra Sargenti; Francesco Musmeci; Francesco Bacchi; Cecilia Delprete; Domenico Andrea Cristaldi; Federica Cannas; Simone Bonetti; Simone Pasqua; Daniele Gazzola; Delfina Costa; Federico Villa; Maria Raffaella Zocchi; Alessandro Poggi
Journal:  Front Immunol       Date:  2020-12-23       Impact factor: 7.561

Review 9.  Smart Cell Culture Systems: Integration of Sensors and Actuators into Microphysiological Systems.

Authors:  Mario M Modena; Ketki Chawla; Patrick M Misun; Andreas Hierlemann
Journal:  ACS Chem Biol       Date:  2018-02-15       Impact factor: 5.100

  9 in total

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