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Automated cellular sample preparation using a Centrifuge-on-a-Chip

Mach, Albert J., Kim, Jae Hyun, Arshi, Armin, Hur, Soojung Claire, Di Carlo, Dino·2011·Lab on a Chip

Abstract

The standard centrifuge is a laboratory instrument widely used by biologists and medical technicians for preparing cell samples. Efforts to automate the operations of concentration, cell separation, and solution exchange that a centrifuge performs in a simpler and smaller platform have had limited success. Here, we present a microfluidic chip that replicates the functions of a centrifuge without moving parts or external forces. The device operates using a purely fluid dynamic phenomenon in which cells selectively enter and are maintained in microscale vortices. Continuous and sequential operation allows enrichment of cancer cells from spiked blood samples at the mL min(-1) scale, followed by fluorescent labeling of intra- and extra-cellular antigens on the cells without the need for manual pipetting and washing steps. A versatile centrifuge-analogue may open opportunities in automated, low-cost and high-throughput sample preparation as an alternative to the standard benchtop centrifuge in standardized clinical diagnostics or resource poor settings.

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Metadata

Authors
Mach, A. J., Kim, J. H., Arshi, A., Hur, S. C., & Di Carlo, D.
Venue
Lab on a Chip
Published
2011
Volume
11
Issue
17
Pages
2827
ISSN
  • 1473-0189 (ISSN-L)
  • 1473-0197
OpenAlex
W2032682565
Cited by
280
References
0
FWCI
13.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Automated cellular sample preparation using a Centrifuge-on-a-Chip. https://app.cochat.ai/papers/10.1039/c1lc20330d
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Mach, A. J., Kim, J. H., Arshi, A., Hur, S. C., & Di Carlo, D. (2011). Automated cellular sample preparation using a Centrifuge-on-a-Chip. Lab on a Chip. https://doi.org/10.1039/c1lc20330d

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.