2022
DOI: 10.1039/d2nr00041e
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Cell mechanics can be robustly derived from AFM indentation data using the brush model: error analysis

Abstract: The brush model was introduced to interpret AFM indentation data collected on biological cells in a more consistent way compared just to the traditional Hertz model. It takes into account...

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Cited by 8 publications
(17 citation statements)
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References 54 publications
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“…57 Thus, it was interesting to verify if these changes stay when using the self-consistent brush model, which allows obtaining of the quasistatic Young's modulus with an error of just a few percent. 24,25 Here we observed that bladder epithelial cancer cells are still softer than nonmalignant ones, which qualitatively agrees with the previously reported observations.…”
Section: ■ Results and Discussionsupporting
confidence: 92%
See 2 more Smart Citations
“…57 Thus, it was interesting to verify if these changes stay when using the self-consistent brush model, which allows obtaining of the quasistatic Young's modulus with an error of just a few percent. 24,25 Here we observed that bladder epithelial cancer cells are still softer than nonmalignant ones, which qualitatively agrees with the previously reported observations.…”
Section: ■ Results and Discussionsupporting
confidence: 92%
“…Although it was previously reported that malignant cells were softer than nonmalignant, ignoring the pericellular layer, it substantially changes the derived values of the quasistatic Young’s modulus . Thus, it was interesting to verify if these changes stay when using the self-consistent brush model, which allows obtaining of the quasistatic Young’s modulus with an error of just a few percent. , Here we observed that bladder epithelial cancer cells are still softer than nonmalignant ones, which qualitatively agrees with the previously reported observations.…”
Section: Discussionsupporting
confidence: 91%
See 1 more Smart Citation
“…More detail, including the robustness and error analysis of this model, was presented in ref. 27, where the high robustness of the model and the relatively low error of the derived parameters were reported. Each force curve derived from the AFM is a function of the cantilever deflection ( d ) with respect to the vertical displacement of the AFM scanner ( Z ).…”
Section: Methodsmentioning
confidence: 89%
“…As was recently shown, the errors in the definition of an effective Young's modulus due to the possible uncertainties of the model and experimental data are within 4%, which is less than the error, for example, due to the typical uncertainty in the spring constant of the AFM cantilever. 27 Knowledge of the PB layer has a big biological significance. This layer surrounds neurofilaments to maintain interfilamentous spacing.…”
Section: Introductionmentioning
confidence: 99%