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The Application of a Homogeneous Half-Space Model in the Analysis of Endothelial Cell Micropipette Measurements

Theret, D. P., Levesque, M. J., Sato, M., Nerem, R. M., Wheeler, L. T.·1988·Journal of Biomechanical Engineering

Abstract

Experimental studies have shown that endothelial cells which have been exposed to shear stress maintain a flattened and elongated shape after detachment. Their mechanical properties, which are studied using the micropipette experiments, are influenced by the level as well as the duration of the shear stress. In the present paper, we analyze these mechanical properties with the aid of two mathematical models suggested by the micropipette technique and by the geometry peculiar to these cells in their detached post-exposure state. The two models differ in their treatment of the contact zone between the cell and the micropipette. The main results are expressions for an effective Young’s modulus for the cells, which are used in conjunction with the micropipette data to determine an effective Young’s modulus for bovine endothelial cells, and to discuss the dependence of this modulus upon exposure to shear stress.

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Metadata

Authors
Theret, D. P., Levesque, M. J., Sato, M., Nerem, R. M., & Wheeler, L. T.
Venue
Journal of Biomechanical Engineering
Published
1988-08-01
Volume
110
Issue
3
Pages
190-199
ISSN
  • 0148-0731 (ISSN-L)
  • 1528-8951
OpenAlex
W1974541126
Cited by
382
References
0
FWCI
0.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Application of a Homogeneous Half-Space Model in the Analysis of Endothelial Cell Micropipette Measurements. https://app.cochat.ai/papers/10.1115/1.3108430
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Theret, D. P., Levesque, M. J., Sato, M., Nerem, R. M., & Wheeler, L. T. (1988). The Application of a Homogeneous Half-Space Model in the Analysis of Endothelial Cell Micropipette Measurements. Journal of Biomechanical Engineering. https://doi.org/10.1115/1.3108430

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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.