Literature DB >> 18036608

Determining blood cell size using microfluidic hydrodynamics.

David W Inglis1, John A Davis, Thomas J Zieziulewicz, David A Lawrence, Robert H Austin, James C Sturm.   

Abstract

Microfluidic flow cytometers currently analyze far fewer parameters than conventional flow cytometry or fluorescence activated cell sorting (FACS) in order to minimize cost and complexity. There is a need for microfluidic devices that analyze more and or new cell parameters with compact and minimal means. Here we show a new and explicitly microfluidic parameter, "hydrodynamic" cell size, and compare it to forward scatter in conventional flow cytometry. The hydrodynamic size of cells is determined by the degree of lateral displacement experienced while traveling through a 1.2-mm-wide non-clogging array of micro-fabricated obstacles. We show comparable size resolution between the microfluidic device and forward scatter in conventional flow cytometry and without the need to lyse red blood cells. We use the device to differentiate healthy lymphocytes from malignant lymphocytes by size alone and we use the device to detect increased numbers of activated lymphocytes in blood as a result of exposure to staphylococcal enterotoxin B (SEB), a potential bioterror agent. Together the results demonstrate a microfluidic device that performs some of the measurement and separation tasks of a flow cytometer but at a potentially lower cost and complexity.

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Year:  2007        PMID: 18036608     DOI: 10.1016/j.jim.2007.10.004

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  13 in total

1.  Microfluidic chemical processing with on-chip washing by deterministic lateral displacement arrays with separator walls.

Authors:  Yu Chen; Joseph D'Silva; Robert H Austin; James C Sturm
Journal:  Biomicrofluidics       Date:  2015-09-09       Impact factor: 2.800

2.  An integrated, multiparametric flow cytometry chip using "microfluidic drifting" based three-dimensional hydrodynamic focusing.

Authors:  Xiaole Mao; Ahmad Ahsan Nawaz; Sz-Chin Steven Lin; Michael Ian Lapsley; Yanhui Zhao; J Philip McCoy; Wafik S El-Deiry; Tony Jun Huang
Journal:  Biomicrofluidics       Date:  2012-04-20       Impact factor: 2.800

3.  Deformability-based red blood cell separation in deterministic lateral displacement devices-A simulation study.

Authors:  Timm Krüger; David Holmes; Peter V Coveney
Journal:  Biomicrofluidics       Date:  2014-10-13       Impact factor: 2.800

4.  Broken flow symmetry explains the dynamics of small particles in deterministic lateral displacement arrays.

Authors:  Sung-Cheol Kim; Benjamin H Wunsch; Huan Hu; Joshua T Smith; Robert H Austin; Gustavo Stolovitzky
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-12       Impact factor: 11.205

5.  Biophysical investigation of living monocytes in flow by collaborative coherent imaging techniques.

Authors:  David Dannhauser; Domenico Rossi; Pasquale Memmolo; Andrea Finizio; Pietro Ferraro; Paolo Antonio Netti; Filippo Causa
Journal:  Biomed Opt Express       Date:  2018-10-04       Impact factor: 3.732

6.  Inhibition of clot formation in deterministic lateral displacement arrays for processing large volumes of blood for rare cell capture.

Authors:  Joseph D'Silva; Robert H Austin; James C Sturm
Journal:  Lab Chip       Date:  2015-05-21       Impact factor: 6.799

7.  Rare Cell Capture in Microfluidic Devices.

Authors:  Erica D Pratt; Chao Huang; Benjamin G Hawkins; Jason P Gleghorn; Brian J Kirby
Journal:  Chem Eng Sci       Date:  2011-04-01       Impact factor: 4.311

Review 8.  Label-free cell separation and sorting in microfluidic systems.

Authors:  Daniel R Gossett; Westbrook M Weaver; Albert J Mach; Soojung Claire Hur; Henry Tat Kwong Tse; Wonhee Lee; Hamed Amini; Dino Di Carlo
Journal:  Anal Bioanal Chem       Date:  2010-04-25       Impact factor: 4.142

9.  Sub-micrometer-precision, three-dimensional (3D) hydrodynamic focusing via "microfluidic drifting".

Authors:  Ahmad Ahsan Nawaz; Xiangjun Zhang; Xiaole Mao; Joseph Rufo; Sz-Chin Steven Lin; Feng Guo; Yanhui Zhao; Michael Lapsley; Peng Li; J Philip McCoy; Stewart J Levine; Tony Jun Huang
Journal:  Lab Chip       Date:  2013-11-28       Impact factor: 6.799

Review 10.  Detection of Rare Objects by Flow Cytometry: Imaging, Cell Sorting, and Deep Learning Approaches.

Authors:  Denis V Voronin; Anastasiia A Kozlova; Roman A Verkhovskii; Alexey V Ermakov; Mikhail A Makarkin; Olga A Inozemtseva; Daniil N Bratashov
Journal:  Int J Mol Sci       Date:  2020-03-27       Impact factor: 5.923

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