Abstract
Computational cell mechanics models are dependent on cell morphology. Most studies of cell mechanics use an idealized geometry or a cell-specific approach. These approaches do not consider the effect of morphological variation in cell populations. In this chapter we analyze shape variation within a population of endothelial cells, and the effect this variation has on stress estimates from finite-element modeling. We developed shape descriptors to quantify variation in the nucleus and overall cell shape in a population of human microvascular endothelial cells (n = 15). From these descriptors, we generate statistically representative spatial models that more accurately reflect the cell shape of the entire population. We also generate models with non-typical morphology that are less likely to be found in the cell population. Both of these model types were subject to finite-element analysis, and compared to illustrate how morphological variation effects stress estimates.
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Acknowledgments
Yi Chung Lim is supported by a University of Auckland Doctoral Scholarship. This work was supported by a Faculty Research Development Fund grant (3702516, D.S.L.). We thank Ms. Hilary Holloway and Ms. Jacqui Ross from the Biomedical Imaging Research Unit for assistance in microscope training and image acquisition. Finally, we thank Dr. Edwin Ades and Mr. Francisco J. Candal of CDC and Dr. Thomas Lawley of Emory University for developing the HMEC-1 line and providing it to us (NCEZID-R147589-00).
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Lim, Y.C., Cooling, M.T., McGlashan, S.R., Long, D.S. (2016). Mechanical Models of Endothelial Mechanotransmission Based on a Population of Cells. In: Joldes, G., Doyle, B., Wittek, A., Nielsen, P., Miller, K. (eds) Computational Biomechanics for Medicine. Springer, Cham. https://doi.org/10.1007/978-3-319-28329-6_6
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DOI: https://doi.org/10.1007/978-3-319-28329-6_6
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