Literature DB >> 24615248

Flow metering characterization within an electrical cell counting microfluidic device.

U Hassan1, N N Watkins, C Edwards, R Bashir.   

Abstract

Microfluidic devices based on the Coulter principle require a small aperture for cell counting. For applications using such cell counting devices, the volume of the sample also needs to be metered to determine the absolute cell count in a specific volume. Hence, integrated methods to characterize and meter the volume of a fluid are required in these microfluidic devices. Here, we present fluid flow characterization and electrically-based sample metering results of blood through a measurement channel with a cross-section of 15 μm × 15 μm (i.e. the Coulter aperture). Red blood cells in whole blood are lysed and the remaining fluid, consisting of leukocytes, erythrocyte cell lysate and various reagents, is flown at different flow rates through the measurement aperture. The change in impedance across the electrodes embedded in the counting channel shows a linear relationship with the increase in the fluid flow rate. We also show that the fluid volume can be determined by measuring the decrease in pulse width, and increase in number of cells as they pass through the counting channel per unit time.

Mesh:

Year:  2014        PMID: 24615248     DOI: 10.1039/c3lc51278a

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


  13 in total

1.  A microfluidic biochip for complete blood cell counts at the point-of-care.

Authors:  U Hassan; B Reddy; G Damhorst; O Sonoiki; T Ghonge; C Yang; R Bashir
Journal:  Technology (Singap World Sci)       Date:  2015-12-11

Review 2.  Recent advances in the use of microfluidic technologies for single cell analysis.

Authors:  Travis W Murphy; Qiang Zhang; Lynette B Naler; Sai Ma; Chang Lu
Journal:  Analyst       Date:  2017-12-18       Impact factor: 4.616

3.  A single-cell identification and capture chip for automatically and rapidly determining hydraulic permeability of cells.

Authors:  Yeye Xu; Weiping Ding; Shibo Li; Chengpan Li; Dayong Gao; Bensheng Qiu
Journal:  Anal Bioanal Chem       Date:  2020-05-21       Impact factor: 4.142

4.  Microfluidic differential immunocapture biochip for specific leukocyte counting.

Authors:  Umer Hassan; Nicholas N Watkins; Bobby Reddy; Gregory Damhorst; Rashid Bashir
Journal:  Nat Protoc       Date:  2016-03-10       Impact factor: 13.491

Review 5.  Point of care technologies for sepsis diagnosis and treatment.

Authors:  Taylor Oeschger; Duncan McCloskey; Varun Kopparthy; Ankur Singh; David Erickson
Journal:  Lab Chip       Date:  2019-02-26       Impact factor: 6.799

6.  Cell density detection based on a microfluidic chip with two electrode pairs.

Authors:  Yongliang Wang; Danni Chen; Xiaoliang Guo
Journal:  Biotechnol Lett       Date:  2022-09-10       Impact factor: 2.716

7.  Flow induced particle separation and collection through linear array pillar microfluidics device.

Authors:  Prerna Balyan; Deepika Saini; Supriyo Das; Dhirendra Kumar; Ajay Agarwal
Journal:  Biomicrofluidics       Date:  2020-03-19       Impact factor: 2.800

Review 8.  Microfluidic impedance flow cytometry enabling high-throughput single-cell electrical property characterization.

Authors:  Jian Chen; Chengcheng Xue; Yang Zhao; Deyong Chen; Min-Hsien Wu; Junbo Wang
Journal:  Int J Mol Sci       Date:  2015-04-29       Impact factor: 5.923

9.  Lab-on-chip cytometry based on magnetoresistive sensors for bacteria detection in milk.

Authors:  Ana C Fernandes; Carla M Duarte; Filipe A Cardoso; Ricardo Bexiga; Susana Cardoso; Paulo P Freitas
Journal:  Sensors (Basel)       Date:  2014-08-21       Impact factor: 3.576

10.  A point-of-care microfluidic biochip for quantification of CD64 expression from whole blood for sepsis stratification.

Authors:  U Hassan; T Ghonge; B Reddy; M Patel; M Rappleye; I Taneja; A Tanna; R Healey; N Manusry; Z Price; T Jensen; J Berger; A Hasnain; E Flaugher; S Liu; B Davis; J Kumar; K White; R Bashir
Journal:  Nat Commun       Date:  2017-07-03       Impact factor: 14.919

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