000148823 001__ 148823
000148823 005__ 20190416055740.0
000148823 0247_ $$2doi$$a10.1039/b918055a
000148823 022__ $$a1473-0189
000148823 02470 $$2ISI$$a000275757600011
000148823 037__ $$aARTICLE
000148823 245__ $$aOptimization of microfluidic single cell trapping for long-term on-chip culture
000148823 269__ $$a2010
000148823 260__ $$bRoyal Society of Chemistry$$c2010
000148823 336__ $$aJournal Articles
000148823 520__ $$aThe poor efficiency of microfluidic single cell trapping is currently restricting the full potential of state-of-the-art single cell analyses. Using fluid dynamics simulations in combination with particle image velocimetry to systematically optimize trap architectures, we present a microfluidic chip with enhanced single cell trapping and on-chip culture performance. Upon optimization of trap geometries, we measured trapping efficiencies of up to 97%. Our device also enables the stable, relatively long-term culture of individual non-adherent mammalian cells in high-throughput without a significant decrease in cell viability. As a first application of this platform we demonstrate the automated separation of the two daughter cells generated upon single cell division. The reliable trapping and re-trapping of mammalian cells should for example provide the fundament for novel types of investigations in stem cell and tumour cell biology, which depend on reliable tracking of genealogical relationships such as in stem cell lineage tracking.
000148823 6531_ $$astem-cells
000148823 6531_ $$adielectrophoresis
000148823 6531_ $$aelectroporation
000148823 6531_ $$aseparation
000148823 6531_ $$amanipulation
000148823 700__ $$0244261$$g177867$$aKobel, Stefan
000148823 700__ $$0242543$$g178347$$aValero, Ana
000148823 700__ $$aLatt, Jonas
000148823 700__ $$g107144$$aRenaud, Philippe$$0240219
000148823 700__ $$aLutolf, Matthias$$g106911$$0244264
000148823 773__ $$j10$$tLab on a Chip$$k7$$q857-863
000148823 8564_ $$uhttps://infoscience.epfl.ch/record/148823/files/Valero%272010.pdf$$zn/a$$s346360$$yn/a
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000148823 909CO $$qGLOBAL_SET$$pSV$$pSTI$$particle$$ooai:infoscience.tind.io:148823
000148823 917Z8 $$x113143
000148823 917Z8 $$x182396
000148823 937__ $$aEPFL-ARTICLE-148823
000148823 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000148823 980__ $$aARTICLE