Biomechanical phenotyping of minuscule soft tissues: An example in the rodent tricuspid valve

AI-dente: an open machine learning based tool to interpret nano-indentation data of soft tissues and materials

“…We find that the modified Hertzian solution accurately accounts for increased indentation depth but cannot account for nonlinearities induced by small sample sizes and thicknesses. This is important when applying indentation to biological tissues where lateral sample sizes may be minuscule, and tissue can be very thin 14 …”

“…We find that the modified Hertzian solution accurately accounts for increased indentation depth but cannot account for nonlinearities induced by small sample sizes and thicknesses. This is important when applying indentation to biological tissues where lateral sample sizes may be minuscule, and tissue can be very thin 14 problem, we used the network within a least squares approach to inversely identify the material parameters to the neo-Hookean and the Gent models from synthetic load-displacements curves. Fig.…”

“…For example, when using model systems such as rodents, tissues' lateral dimensions can be on the order of millimeters while having thicknesses on the order of micrometers. [10][11][12][13][14] The inability of traditional test methods to yield spatially resolved mechanical properties and to accommodate very small test samples has inspired the use of indentation-based methods. Such methods may use micrometer-sized indenters ranging in size from a few to hundreds of micrometers that locally probe soft biological tissues to yield load-displacement curves.…”

“…For example, when using model systems such as rodents, tissues’ lateral dimensions can be on the order of millimeters while having thicknesses on the order of micrometers. 10–14…”