Effect of cell sample size in atomic force microscopy nanoindentation

Effect of cell sample size in atomic force microscopy nanoindentation Single-cell technologies are powerful tools to evaluate cell characteristics. In particular, Atomic Force Microscopy (AFM) nanoindentation experiments have been widely used to study single cell mechanical properties. One important aspect related to single cell techniques is the need for sufficient statistical power to obtain reliable results. This aspect is often overlooked in AFM experiments were sample sizes are arbitrarily set.The aim of the present work was to propose a tool for sample size estimation in the context of AFM nanoindentation experiments of single cell. To this aim, a retrospective approach was used by acquiring a large dataset of experimental measurements on four bone cell types and by building saturation curves for increasing sample sizes with a bootstrap resampling method.It was observed that the coefficient of variation (CV%) decayed with a function of the form y = axb with similar parameters for all samples tested and that sample sizes of 21 and 83 cells were needed for the specific cells and protocol employed if setting a maximum threshold on CV% of 10% or 5%, respectively. The developed tool is made available as an open-source repository and guidelines are provided for its use for AFM nanoindentation experimental design. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of the Mechanical Behavior of Biomedical Materials Elsevier

Effect of cell sample size in atomic force microscopy nanoindentation

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Publisher
Elsevier
Copyright
Copyright © 2019 Elsevier Ltd
ISSN
1751-6161
eISSN
1878-0180
D.O.I.
10.1016/j.jmbbm.2019.03.018
Publisher site
See Article on Publisher Site

Abstract

Single-cell technologies are powerful tools to evaluate cell characteristics. In particular, Atomic Force Microscopy (AFM) nanoindentation experiments have been widely used to study single cell mechanical properties. One important aspect related to single cell techniques is the need for sufficient statistical power to obtain reliable results. This aspect is often overlooked in AFM experiments were sample sizes are arbitrarily set.The aim of the present work was to propose a tool for sample size estimation in the context of AFM nanoindentation experiments of single cell. To this aim, a retrospective approach was used by acquiring a large dataset of experimental measurements on four bone cell types and by building saturation curves for increasing sample sizes with a bootstrap resampling method.It was observed that the coefficient of variation (CV%) decayed with a function of the form y = axb with similar parameters for all samples tested and that sample sizes of 21 and 83 cells were needed for the specific cells and protocol employed if setting a maximum threshold on CV% of 10% or 5%, respectively. The developed tool is made available as an open-source repository and guidelines are provided for its use for AFM nanoindentation experimental design.

Journal

Journal of the Mechanical Behavior of Biomedical MaterialsElsevier

Published: Jun 1, 2019

References

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