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Cited by 178

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The Challenge to Measure Cell Proliferation in Two and Three Dimensions

Ng, Kee W., Leong, David T.W., Hutmacher, Dietmar W.·2005·Tissue Engineering

Abstract

Various assays, using different strategies, are available for assessing cultured cell proliferation. These include measurement of metabolic activity (tetrazolium salts and alamarBlue), DNA quantification using fluorophores (Hoechst 33258 and PicoGreen), uptake of radioactively-labeled DNA precursors such as [3H]thymidine, and physical counting (hemocytometer). These assays are well established in characterizing cell proliferation in two-dimensional (2D), monolayer cultures of low cell densities. However, increasing interest in 3D cultures has prompted the need to evaluate the effectiveness of using these assays in high cell density or 3D cultures. We show here that typical cell proliferation assays do not necessarily correlate linearly with increasing cell densities or between 2D and 3D cultures, and are either not suitable or only rough approximations in quantifying actual cell numbers in a culture. Prudent choice of techniques and careful interpretation of data are therefore recommended when measuring cell proliferation in high cell density and 3D cultures.

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Metadata

Authors
Ng, K. W., Leong, D. T. W., & Hutmacher, D. W.
Venue
Tissue Engineering
Published
2005-01
Volume
11
Issue
1-2
Pages
182-191
ISSN
  • 1076-3279 (ISSN-L)
  • 1557-8690
OpenAlex
W2074639428
Cited by
178
References
2
FWCI
7.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Challenge to Measure Cell Proliferation in Two and Three Dimensions. https://app.cochat.ai/papers/10.1089/ten.2005.11.182
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Ng, K. W., Leong, D. T. W., & Hutmacher, D. W. (2005). The Challenge to Measure Cell Proliferation in Two and Three Dimensions. Tissue Engineering. https://doi.org/10.1089/ten.2005.11.182

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

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