Please use this identifier to cite or link to this item: https://doi.org/10.1103/PhysRevE.77.021912
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dc.titleComputational analysis of adhesion force in the indentation of cells using atomic force microscopy
dc.contributor.authorZhang, C.Y.
dc.contributor.authorZhang, Y.W.
dc.date.accessioned2014-06-17T07:57:58Z
dc.date.available2014-06-17T07:57:58Z
dc.date.issued2008-02-22
dc.identifier.citationZhang, C.Y., Zhang, Y.W. (2008-02-22). Computational analysis of adhesion force in the indentation of cells using atomic force microscopy. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 77 (2) : -. ScholarBank@NUS Repository. https://doi.org/10.1103/PhysRevE.77.021912
dc.identifier.issn15393755
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/64828
dc.description.abstractA mechanical model was developed to study the indentation of an atomic force microscopic (AFM) tip on a cell with adhesion mediated by receptor-ligand binding. The effects of indentation rate, indentation depth, indenter size, and the mechanical properties of cells on the adhesion force were investigated. It was found that the presence of adhesion between the cell and AFM tip may affect both the loading curve and unloading curve, which may in turn change the extracted elastic modulus values using the conventional indentation models. It was found that an increase in the receptor-ligand reaction rate may lead to a transition from a decrease of the maximum adhesion force with the indentation rate to an increase of the maximum adhesion force with the indentation rate. It was also found that factors such as indenter size, indentation depth, and cell mechanical properties influence the maximum adhesion force, and their corresponding underlying mechanisms were discussed. © 2008 The American Physical Society.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1103/PhysRevE.77.021912
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentMATERIALS SCIENCE AND ENGINEERING
dc.description.doi10.1103/PhysRevE.77.021912
dc.description.sourcetitlePhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
dc.description.volume77
dc.description.issue2
dc.description.page-
dc.description.codenPLEEE
dc.identifier.isiut000253763700090
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