Determination of work of adhesion of biological cell under AFM bead indentation

Zhu, Xinyao; Siamantouras, Eleftherios; Liu, Kuo-Kang; Liu, Xianping

doi:10.1016/j.jmbbm.2015.11.034

Cited by 48 publications

(28 citation statements)

References 36 publications

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“…Note that other authors have also used data fitting-related techniques in studies of soft and biological materials. See, for instance, the works [73][74][75][76][77][78]. However, in most cases one can hardly find any detailed description of fitting methods and procedures.…”

Section: The Bg Methodsmentioning

confidence: 99%

Depth-Sensing Indentation as a Micro- and Nanomechanical Approach to Characterisation of Mechanical Properties of Soft, Biological, and Biomimetic Materials

et al. 2019

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Classical methods of material testing become extremely complicated or impossible at micro-/nanoscale. At the same time, depth-sensing indentation (DSI) can be applied without much change at various length scales. However, interpretation of the DSI data needs to be done carefully, as length-scale dependent effects, such as adhesion, should be taken into account. This review paper is focused on different DSI approaches and factors that can lead to erroneous results, if conventional DSI methods are used for micro-/nanomechanical testing, or testing soft materials. We also review our recent advances in the development of a method that intrinsically takes adhesion effects in DSI into account: the Borodich–Galanov (BG) method, and its extended variant (eBG). The BG/eBG methods can be considered a framework made of the experimental part (DSI by means of spherical indenters), and the data processing part (data fitting based on the mathematical model of the experiment), with such distinctive features as intrinsic model-based account of adhesion, the ability to simultaneously estimate elastic and adhesive properties of materials, and non-destructive nature.

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Section: The Bg Methodsmentioning

confidence: 99%

Depth-Sensing Indentation as a Micro- and Nanomechanical Approach to Characterisation of Mechanical Properties of Soft, Biological, and Biomimetic Materials

et al. 2019

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“…e results were determined using the average of the experimental data. e geometric sizes of the cells were determined using AFM topography images because the AFM can provide detailed information about the topography of the cytoplasm membrane [24]. e elastic moduli of the cells at different locations were obtained by fitting force (F)-indentation (δ) data using the Hertzian and Sneddon formula that relates the indentation force and indentation depth, which is expressed as [25]…”

Section: Cell Preparation and Afm Indentationmentioning

confidence: 99%

Finite Element Modelling of Single Cell Based on Atomic Force Microscope Indentation Method

Wang

et al. 2019

Computational and Mathematical Methods in Medicine

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The stiffness of cells, especially cancer cells, is a key mechanical property that is closely associated with their biomechanical functions, such as the mechanotransduction and the metastasis mechanisms of cancer cells. In light of the low survival rate of single cells and measurement uncertainty, the finite element method (FEM) was used to quantify the deformations and predict the stiffness of single cells. To study the effect of the cell components on overall stiffness, two new FEM models were proposed based on the atomic force microscopy (AFM) indentation method. The geometric sizes of the FEM models were determined by AFM topography images, and the validity of the FEM models was verified by comparison with experimental data. The effect of the intermediate filaments (IFs) and material properties of the cellular continuum components on the overall stiffness were investigated. The experimental results showed that the stiffness of cancer cells has apparent positional differences. The FEM simulation results show that IFs contribute only slightly to the overall stiffness within 10% strain, although they can transfer forces directly from the membrane to the nucleus. The cytoskeleton (CSK) is the major mechanical component of a cell. Furthermore, parameter studies revealed that the material properties (thickness and elasticity) of the continuum have a significant influence on the overall cellular stiffness while Poisson’s ratio has less of an influence on the overall cellular stiffness. The proposed FEM models can determine the contribution of the major components of the cells to the overall cellular stiffness and provide insights for understanding the response of cells to the external mechanical stimuli and studying the corresponding mechanical mechanisms and cell biomechanics.

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“…Thus, comprehensive and detailed data can be obtained for single cell analysis. [16][17][18] Moreover, the AFM images can present the morphological changes of live cells affected by drugs, and the study on the cell membrane ultrastructure can provide a better understanding of the growth and reproduction of live cells. [19][20][21] Hence, AFM is a suitable and accurate approach to evaluate the efficacy and side effects of drugs in live cells.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of 5-fluorouracil-treated lung cancer cells by atomic force microscopy

Jiang

et al. 2019

Anal. Methods

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Determination of work of adhesion of biological cell under AFM bead indentation

Cited by 48 publications

References 36 publications

Depth-Sensing Indentation as a Micro- and Nanomechanical Approach to Characterisation of Mechanical Properties of Soft, Biological, and Biomimetic Materials

Depth-Sensing Indentation as a Micro- and Nanomechanical Approach to Characterisation of Mechanical Properties of Soft, Biological, and Biomimetic Materials

Finite Element Modelling of Single Cell Based on Atomic Force Microscope Indentation Method

Evaluation of 5-fluorouracil-treated lung cancer cells by atomic force microscopy

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