Tissue Indentation
Tissue Indentation - Related Videos
07:07
Biomechanical Characterization of Human Soft Tissues Using Indentation and Tensile Testing
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Cited by 111 •
2016
Tissue biomechanics is important for maintaining cell shape and function and for determining phenotype. This report demonstrates non-destructive mechanical protocols for characterizing elastic and viscoelastic properties of human soft tissues, which can be directly applied to tissue-engineered substrates to allow a close matching of engineered materials to native tissue.
02:44
Impact Indentation for Assessing the Mechanical Properties of a Mouse Brain Tissue
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2025
Source: Canovic, E. P., et. al., Characterizing Multiscale Mechanical Properties of Brain Tissue Using Atomic Force Microscopy, Impact Indentation, and Rheometry. J. Vis. Exp. (2016)The video demonstrates using impact indentation to measure the mechanical properties of a hydrated mouse brain tissue, including stiffness, energy dissipation, and damping, through probe displacement and velocity analysis.
11:19
Characterizing Multiscale Mechanical Properties of Brain Tissue Using Atomic Force Microscopy, Impact Indentation, and Rheometry
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Cited by 36 •
2016
We present a set of techniques to characterize the viscoelastic mechanical properties of brain at the micro-, meso-, and macro-scales.
08:21
Quantitative Hardness Measurement by Instrumented AFM-indentation
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Cited by 6 •
2016
This experimental protocol describes how atomic force microscopy can be used to measure hardness at the true nanometer scale and to detect single atomistic plasticity events.
07:57
Viscoelastic Characterization of Soft Tissue-Mimicking Gelatin Phantoms using Indentation and Magnetic Resonance Elastography
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Cited by 4 •
2022
This article presents a demonstration and summary of protocols of making gelatin phantoms that mimic soft tissues, and the corresponding viscoelastic characterization using indentation and magnetic resonance elastography.
FAQs
Interpretation begins with the force-deformation response rather than a single force or depth value. Researchers examine how much penetration accompanies the applied load, then use that relationship to estimate whether the tested material is relatively stiff or compliant. The same response can also support assessment of viscoelastic behavior, broadening the mechanical description beyond stiffness alone.
Controlled loading is important because the measurement links a known probe action to tissue deformation. The experiment may regulate force or displacement, and the recorded counterpart supplies the comparison needed to construct the response. This pairing makes results useful for distinguishing mechanical properties among biological materials, provided the testing conditions are applied consistently.
In neuroscience, differences in the resulting mechanical response can be used to compare healthy and diseased tissue or to evaluate changes after injury. The value lies in measuring those states with the same mechanical framework, so altered stiffness, compliance, or viscoelastic behavior can be examined as features of tissue condition rather than inferred only from biological labels.
A typical workflow starts by positioning biological tissue or a neural model beneath an indenter, selecting controlled force or displacement, and pressing the probe into the sample. Force and penetration depth are recorded during the interaction. Researchers then examine the resulting force-deformation relationship to estimate the targeted mechanical properties.
The measurement can produce estimates of stiffness, compliance, and viscoelastic behavior for brain tissue or neural models. These outputs allow investigators to characterize a sample mechanically, compare groups, and assess whether injury or disease is associated with a changed response. They can also supply quantitative information for studies of cell behavior and engineered neural tissue.
Applications extend from comparing healthy and diseased brain tissue to assessing mechanical changes after injury. The technique also supports research on how cells respond to their physical environment, development of tissue-engineered neural models, and design of devices intended to interact with neural tissue. In each case, measured deformation behavior provides a mechanical basis for decisions.