Microfluidic stochastic confinement enhances analysis of rare cells by isolating cells and creating high density environments for control of diffusible signals.
Microfluidic stochastic confinement enhances analysis of rare cells by isolating cells and creating high density environments for control of diffusible signals.
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DOI:
10.1039/b917851a
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发表时间:
2010-03
影响因子:
46.2
通讯作者:
Ismagilov RF
中科院分区:
文献类型:
--
作者:
Vincent ME;Liu W;Haney EB;Ismagilov RF
Rare cells can be difficult to analyze because they either occur in low numbers or coexist with a more abundant cell type, yet their detection is crucial for diagnosing disease and maintaining human health. In this tutorial review, we introduce the concept of microfluidic stochastic confinement for use in detection and analysis of rare cells. Stochastic confinement provides two advantages: 1) it separates rare single cells from the bulk mixture and 2) it allows signals to locally accumulate to a higher concentration around a single cell than in the bulk mixture. Microfluidics is an attractive method for implementing stochastic confinement because it provides simple handling of small volumes. We present technologies for microfluidic stochastic confinement that utilize both wells and droplets for the detection and analysis of single cells. We address how these microfluidic technologies have be used to observe new behavior, increase speed of detection, and enhance cultivation of rare cells. We discuss potential applications of microfluidic stochastic confinement to fields such as human diagnostics and environmental testing.
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DOI:
10.1016/j.clim.2008.06.009
发表时间:
2008-10
期刊:
Clinical immunology (Orlando, Fla.)
影响因子:
--
作者:
Bradshaw EM;Kent SC;Tripuraneni V;Orban T;Ploegh HL;Hafler DA;Love JC
通讯作者:
Love JC
影响因子:
46.9
作者:
Love, J. Christopher;Ronan, Jehnna L.;Ploegh, Hidde L.
通讯作者:
Ploegh, Hidde L.
DOI:
10.1016/s0006-291x(85)80030-9
发表时间:
1985-01-01
影响因子:
3.1
作者:
HARING, G;LUISI, PL;MEUSSDOERFFER, F
通讯作者:
MEUSSDOERFFER, F
影响因子:
12.6
作者:
Grodrian, A;Metze, J;Köhler, JM
通讯作者:
Köhler, JM
影响因子:
6.1
作者:
Baret, Jean-Christophe;Miller, Oliver J.;Griffiths, Andrew D.
通讯作者:
Griffiths, Andrew D.