Automated analysis of soft hydrogel microindentation: Impact of various indentation parameters on the measurement of Young's modulus

PloS One
Steven HuthChristine Selhuber-Unkel

Abstract

Measurements of Young's moduli are mostly evaluated using strong assumptions, such as sample homogeneity and isotropy. At the same time, descriptions of measurement parameters often lack detailed specifications. Many of these assumptions are, for soft hydrogels especially, not completely valid and the complexity of hydrogel microindentation demands more sophisticated experimental procedures in order to describe their elastic properties more accurately. We created an algorithm that automates indentation data analysis as a basis for the evaluation of large data sets with consideration of the influence of indentation depth on the measured Young's modulus. The algorithm automatically determines the Young's modulus in indentation regions where it becomes independent of the indentation depth and furthermore minimizes the error from fitting an elastic model to the data. This approach is independent of the chosen elastic fitting model and indentation device. With this, we are able to evaluate large amounts of indentation curves recorded on many different sample positions and can therefore apply statistical methods to overcome deviations due to sample inhomogeneities. To prove the applicability of our algorithm, we carried out a systema...Continue Reading

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Citations

Feb 14, 2021·Science Advances·Jean-François LoufSujit S Datta
Apr 10, 2021·The Journal of Cell Biology·Riasat ZamanAnthony Bretscher
Apr 20, 2021·Journal of the Mechanical Behavior of Biomedical Materials·Hugo Arian Marin-TapiaMiguel Mayorga-Rojas
Sep 21, 2021·Tissue Engineering. Part C, Methods·Melanie KahlChristoph Meinert

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