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Cited by 301

The DOI matches its Crossref record; 107 of the 107 references it cites were found in a registry or an index.

Microfluidic approaches for cancer cell detection, characterization, and separation

Chen, Jian, Li, Jason, Sun, Yu·2012·Lab on a Chip

Abstract

This article reviews the recent developments in microfluidic technologies for in vitro cancer diagnosis. We summarize the working principles and experimental results of key microfluidic platforms for cancer cell detection, characterization, and separation based on cell-affinity micro-chromatography, magnetic activated micro-sorting, and cellular biophysics (e.g., cell size and mechanical and electrical properties). We examine the advantages and limitations of each technique and discuss future research opportunities for improving device throughput and purity, and for enabling on-chip analysis of captured cancer cells.

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Crossref · 10.1039/c2lc21273k

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Metadata

Authors
Chen, J., Li, J., & Sun, Y.
Venue
Lab on a Chip
Published
2012
Volume
12
Issue
10
Pages
1753
ISSN
  • 1473-0189 (ISSN-L)
  • 1473-0197
OpenAlex
W2028843745
Cited by
301
References
107
FWCI
18.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Microfluidic approaches for cancer cell detection, characterization, and separation. https://app.cochat.ai/papers/10.1039/c2lc21273k
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Chen, J., Li, J., & Sun, Y. (2012). Microfluidic approaches for cancer cell detection, characterization, and separation. Lab on a Chip. https://doi.org/10.1039/c2lc21273k

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.