Literature DB >> 16572213

Quantitative modeling of dielectrophoretic traps.

Adam Rosenthal1, Brian M Taff, Joel Voldman.   

Abstract

We present quantitative modeling software for simulating multiple forces acting on a single particle in a microsystem. In this paper, we focus on dielectrophoretic (DEP) trapping of single cells against fluid flow. The software effectively models the trapping behavior for a range of particles including beads, mammalian cells, viruses, and bacteria. In addition, the software can be used to reveal useful information about the DEP traps - such as multipolar DEP force effects, trap size-selectivity, and effects from varying the flow chamber height. Our modeling software thus serves as a predictive tool, enabling the design of novel DEP traps with superior performance over existing trap geometries. In addition, the software can evaluate a range of trap dimensions to determine the effects on trapping behavior, thus optimizing the trap geometry before it is even fabricated. The software is freely available to the scientific community at: .

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Mesh:

Year:  2006        PMID: 16572213     DOI: 10.1039/b600280n

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


  3 in total

1.  An inverted dielectrophoretic device for analysis of attached single cell mechanics.

Authors:  Rebecca Lownes Urbano; Alisa Morss Clyne
Journal:  Lab Chip       Date:  2016-02-07       Impact factor: 6.799

2.  High-throughput cell and particle characterization using isodielectric separation.

Authors:  M D Vahey; J Voldman
Journal:  Anal Chem       Date:  2009-04-01       Impact factor: 6.986

3.  Virus enrichment for single virus infection by using 3D insulator based dielectrophoresis.

Authors:  Taisuke Masuda; Hisataka Maruyama; Ayae Honda; Fumihito Arai
Journal:  PLoS One       Date:  2014-06-11       Impact factor: 3.240

  3 in total

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