Published March 2010 | Version Published + Accepted Version
Journal Article Open

Microfluidic stochastic confinement enhances analysis of rare cells by isolating cells and creating high density environments for control of diffusible signals

  • 1. ROR icon University of Chicago

Abstract

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 been 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.

Additional Information

© Royal Society of Chemistry 2010. Received 1st September 2009. First published on the web 12th January 2010. This work was supported by ONR Grant N000140610630, NSF CRC Grant No. 0526693 and NIH Director's Pioneer Award DP1 OD003584 to R.F.I. We thank Rebecca Pompano, James Boedicker, and Elena Lucchetta for helpful discussion and Heidi Park for contributions to writing and editing this manuscript. Part of the themed issue: From microfluidic application to nanofluidic phenomena.

Attached Files

Published - Ismagilov_CSR_2010_stoch_confine_rev_39_974_984_MV_WL.pdf

Accepted Version - nihms169974.pdf

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Additional details

Identifiers

PMCID
PMC2829723
Eprint ID
40888
Resolver ID
CaltechAUTHORS:20130821-160734997

Funding

Office of Naval Research (ONR)
N000140610630
NSF
CHE-0526693
NIH
1DP1 OD003584

Dates

Created
2013-08-26
Created from EPrint's datestamp field
Updated
2021-11-10
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