Literature DB >> 24572707

Application of a three-dimensional (3D) particle tracking method to microfluidic particle focusing.

Michael H Winer1, Ali Ahmadi, Karen C Cheung.   

Abstract

In this paper, a defocusing-based three-dimensional (3D) particle tracking method is presented and demonstrated for microfluidic particle focusing applications. Previous work in particle focusing has verified particle position in two dimensions (2D) using micro-streak velocimetry, or confocal and stereoscopic setups for 3D tracking. The results obtained from the methodology presented are compared with the theoretical and previously observed trends, and it is shown that the defocusing technique provides a simple and precise tool for determining the 3D locations of cell-sized particles in microscale flows (Re ≤ 100). Although similar methods exist for micro-particle image velocimetry (μ-PIV) applications, this is the first implementation of this technique for particle focusing applications.

Year:  2014        PMID: 24572707     DOI: 10.1039/c3lc51352a

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


  3 in total

1.  The advection of microparticles, MCF-7 and MDA-MB-231 breast cancer cells in response to very low Reynolds numbers.

Authors:  Sinéad T Morley; Michael T Walsh; David T Newport
Journal:  Biomicrofluidics       Date:  2017-05-05       Impact factor: 2.800

2.  3D particle transport in multichannel microfluidic networks with rough surfaces.

Authors:  Duncan P Ryan; Yu Chen; Phong Nguyen; Peter M Goodwin; J William Carey; Qinjun Kang; James H Werner; Hari S Viswanathan
Journal:  Sci Rep       Date:  2020-08-14       Impact factor: 4.996

3.  2D µ-Particle Image Velocimetry and Computational Fluid Dynamics Study Within a 3D Porous Scaffold.

Authors:  A Campos Marin; T Grossi; E Bianchi; G Dubini; D Lacroix
Journal:  Ann Biomed Eng       Date:  2016-12-12       Impact factor: 3.934

  3 in total

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