Probabilistic estimation of mechanical properties of biomaterials using atomic force microscopy.

ABSTRACT: Nanoindentation using contact-mode atomic force microscopy (AFM) has emerged as a powerful tool for effective material characterization of a wide variety of biomaterials across multiple length scales. However, the interpretation of force-indentation experimental data from AFM is subject to some debate. Uncertainties in AFM data analysis stems from two primary sources: The exact point of contact between the AFM probe and the biological specimen and the variability in the spring constant of the AFM probe. While a lot of attention has been directed toward addressing the contact-point uncertainty, the effect of variability in the probe spring constant has not received sufficient attention. In this paper, we report on an error-in-variables-based Bayesian change-point approach to quantify the el

SUBMITTER: Roy R 

PROVIDER: S-EPMC3966978 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature