We acknowledge support of this work by the National Multiple Sclerosis Society and Simons Center for the Social Brain. BQ acknowledges support from the U.S. National Defense Science &amp; Engineering Graduate Fellowship program.

<ol>
	<li>van Dommelen, J. A. W., Hrapko, M., Peters, G. W. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Mechanical+Properties+of+Brain+Tissue:+Characterisation+and+Constitutive+Modelling.">Mechanical Properties of Brain Tissue: Characterisation and Constitutive Modelling.</a> Mechanosensitivity of the Nervous System. , 249-281 (2009).</li><li>Liu, F., Tschumperlin, D. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Micro-mechanical+characterization+of+lung+tissue+using+atomic+force+microscopy.">Micro-mechanical characterization of lung tissue using atomic force microscopy.</a> Journal of Visualized Experiments. (54), e2911 (2011).</li><li>Peaucelle, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=AFM-based+mapping+of+the+elastic+properties+of+cell+walls:+at+tissue,+cellular,+and+subcellular+resolutions.">AFM-based mapping of the elastic properties of cell walls: at tissue, cellular, and subcellular resolutions.</a> Journal of Visualized Experiments. (89), e51317 (2014).</li><li>Thomas, G., Burnham, N. A., Camesano, T. A., Wen, Q. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Measuring+the+mechanical+properties+of+living+cells+using+atomic+force+microscopy.">Measuring the mechanical properties of living cells using atomic force microscopy.</a> Journal of Visualized Experiments. (76), e50497 (2013).</li><li>Moreno-Flores, S., Benitez, R., Vivanco, M. d. M., Toca-Herrera, J. L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Stress+relaxation+and+creep+on+living+cells+with+the+atomic+force+microscope:+a+means+to+calculate+elastic+moduli+and+viscosities+of+cell+components.">Stress relaxation and creep on living cells with the atomic force microscope: a means to calculate elastic moduli and viscosities of cell components.</a> Nanotechnology. 21, 445101 (2010).</li><li>Desprat, N., Richert, A., Simeon, J., Asnacios, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Creep+function+of+a+single+living+cell.">Creep function of a single living cell.</a> Biophysical Journal. 88 (3), 2224-2233 (2005).</li><li>Lu, H., Wang, B., Ma, J., Huang, G., Viswanathan, H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Measurement+of+creep+compliance+of+solid+polymers+by+nanoindentation.">Measurement of creep compliance of solid polymers by nanoindentation.</a> Mechanics Time-Dependent Materials. 7 (3/4), 189-207 (2003).</li><li>Cheng, L., Xia, X., Scriven, L. E., Gerberich, W. W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Spherical-tip+indentation+of+viscoelastic+material.">Spherical-tip indentation of viscoelastic material.</a> Mechanics of Materials. 37, 213-226 (2005).</li><li>Kalcioglu, Z., Qu, M., Van Vliet, <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Multiscale+characterization+of+relaxation+times+of+tissue+surrogate+gels+and+soft+tissues.">Multiscale characterization of relaxation times of tissue surrogate gels and soft tissues.</a> 7th Army Science Conference Proceedings. , (2010).</li><li>Moreno-Flores, S., Benitez, R., Vivanco, M. D., Toca-Herrera, J. L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Stress+relaxation+microscopy:+Imaging+local+stress+in+cells.">Stress relaxation microscopy: Imaging local stress in cells.</a> Journal of Biomechanics. 43 (2), 349-354 (2010).</li><li>Kalcioglu, Z. I., Qu, M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Dynamic+impact+indentation+of+hydrated+biological+tissues+and+tissue+surrogate+gels.">Dynamic impact indentation of hydrated biological tissues and tissue surrogate gels.</a> Philosophical Magazine. 91 (7-9), 1339-1355 (2011).</li><li>Kalcioglu, Z. I., Ra Mrozek, R. a., Mahmoodian, R., VanLandingham, M. R., Lenhart, J. L., Van Vliet, K. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Tunable+mechanical+behavior+of+synthetic+organogels+as+biofidelic+tissue+simulants.">Tunable mechanical behavior of synthetic organogels as biofidelic tissue simulants.</a> Journal of Biomechanics. 46 (9), 1583-1591 (2013).</li><li>Janmey, P. A., Georges, P. C., Hvidt, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Basic+rheology+for+biologists.">Basic rheology for biologists.</a> Methods in Cell Biology. 83, 3-27 (2007).</li><li>Miller, K., Kurtcuoglu, V. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> Biomechanics of the Brain. , (2011).</li><li>L&#233;vy, R., Maaloum, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Measuring+the+spring+constant+of+atomic+force+microscope+cantilevers:+thermal+fluctuations+and+other+methods.">Measuring the spring constant of atomic force microscope cantilevers: thermal fluctuations and other methods.</a> Nanotechnology. 13 (1), 33-37 (2002).</li><li>Fuierer, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Basic+Operation+Procedures+for+the+Asylum+Research+MFP-3D+Atomic+Force+Microscope.">Basic Operation Procedures for the Asylum Research MFP-3D Atomic Force Microscope.</a> MFP-3D Procedureal Operation "Manualette". , (2006).</li><li>Elkin, B. S., Ilankovan, A., Morrison, B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Age-dependent+regional+mechanical+properties+of+the+rat+hippocampus+and+cortex.">Age-dependent regional mechanical properties of the rat hippocampus and cortex.</a> Journal of Biomechanical Engineering. 132, 011010 (2010).</li><li>Elkin, B. S., Azeloglu, E. U., Costa, K. D., Morrison, B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Mechanical+heterogeneity+of+the+rat+hippocampus+measured+by+atomic+force+microscope+indentation.">Mechanical heterogeneity of the rat hippocampus measured by atomic force microscope indentation.</a> Journal of Neurotrauma. 24 (5), 812-822 (2007).</li><li>Lee, E. H., Radok, J. R. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+Contact+Problem+for+Visooelastic+Bodies.">The Contact Problem for Visooelastic Bodies.</a> Journal of Applied Mechanics. 27 (3), 438-444 (1960).</li><li>Lin, D. C., Dimitriadis, E. K., Horkay, F. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Robust+strategies+for+automated+AFM+force+curve+analysis--I.+Non-adhesive+indentation+of+soft,+inhomogeneous+materials.">Robust strategies for automated AFM force curve analysis--I. Non-adhesive indentation of soft, inhomogeneous materials.</a> Journal of Biomechanical Engineering. 129 (3), 430-440 (2007).</li><li>Constantinides, G., Kalcioglu, Z. I., McFarland, M., Smith, J. F., Van Vliet, K. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Probing+mechanical+properties+of+fully+hydrated+gels+and+biological+tissues.">Probing mechanical properties of fully hydrated gels and biological tissues.</a> Journal of Biomechanics. 41 (15), 3285-3289 (2008).</li><li>Shen, F., Tay, T. E., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Modified+Bilston+Nonlinear+Viscoelastic+Model+for+Finite+Element+Head+Injury+Studies.">Modified Bilston Nonlinear Viscoelastic Model for Finite Element Head Injury Studies.</a> Journal of Biomechanical Engineering -- Transactions of the ASME. 128 (5), 797-801 (2006).</li><li>van Dommelen, J. a. W., vander Sande, T. P. J., Hrapko, M., Peters, G. W. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Mechanical+properties+of+brain+tissue+by+indentation:+Interregional+variation.">Mechanical properties of brain tissue by indentation: Interregional variation.</a> Journal of the Mechanical Behavior of Biomedical Materials. 3 (2), 158-166 (2010).</li><li>Rother, J., N&#246;ding, H., Mey, I., Janshoff, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Atomic+force+microscopy-based+microrheology+reveals+significant+differences+in+the+viscoelastic+response+between+malign+and+benign+cell+lines.">Atomic force microscopy-based microrheology reveals significant differences in the viscoelastic response between malign and benign cell lines.</a> Open biology. 4 (5), 140046 (2014).</li><li>Du, P., Lu, H., Zhang, X. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Measuring+the+Young's+Relaxation+Modulus+of+PDMS+Using+Stress+Relaxation+Nanoindentation.">Measuring the Young's Relaxation Modulus of PDMS Using Stress Relaxation Nanoindentation.</a> Symposium DD - Microelectromechanical Systems - Materials and Devices III. 1222 (c), (2009).</li><li>Elkin, B. S., Morrison, B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Viscoelastic+properties+of+the+P17+and+adult+rat+brain+from+indentation+in+the+coronal+plane.">Viscoelastic properties of the P17 and adult rat brain from indentation in the coronal plane.</a> Journal of Biomechanical Engineering. 135, 114507 (2013).</li><li>Brands, D. W., Bovendeerd, P. H., Peters, G. W., Wismans, J. S., Paas, M. H., van Bree, J. L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Comparison+of+the+dynamic+behavior+of+brain+tissue+and+two+model+materials.">Comparison of the dynamic behavior of brain tissue and two model materials.</a> 43rd Stapp Car Crash Conference Proceedings. , 313-320 (1999).</li><li>Hrapko, M., van Dommelen, J. A. W., Peters, G. W. M., Wismans, J. S. H. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Characterisation+of+the+mechanical+behaviour+of+brain+tissue+in+compression+and+shear.">Characterisation of the mechanical behaviour of brain tissue in compression and shear.</a> Biorheology. 45 (6), 663-676 (2008).</li><li>Pogoda, K., Chin, L., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Compression+stiffening+of+brain+and+its+effect+on+mechanosensing+by+glioma+cells.">Compression stiffening of brain and its effect on mechanosensing by glioma cells.</a> New Journal of Physics. 16 (7), 075002 (2014).</li><li>Peters, G. W. M., Meulman, J. H., Sauren, A. A. H. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+applicability+of+the+time/temperature+superposition+principle+to+brain+tissue.">The applicability of the time/temperature superposition principle to brain tissue.</a> Biorheology. 34 (2), 127-138 (1997).</li></ol>

The authors have nothing to disclose.

Each technique presented in this paper measures different facets of brain tissue&#39;s mechanical properties. Creep compliance and stress relaxation moduli are a measure of time-dependent mechanical properties. The storage and loss moduli represent rate-dependent mechanical properties. Impact indentation also measures rate-dependent mechanical properties, but in the context of energy dissipation. When characterizing tissue mechanical properties, both AFM-enabled indentation and rheology are commonly used methods. AFM-ena...

Most soft-tissues comprising biological organs are mechanically and structurally complex, of low stiffness compared to mineralized bone or engineered materials, and exhibit non-linear and time-dependent deformation. Compared to other tissues in the body, brain tissue is remarkably compliant, with elastic moduli E on the order of 100s of Pa 1. Brain tissue exhibits structural heterogeneity with distinct and interdigitated gray and white matter regions that also differ functionally. Understanding brain tissue mechanics will aid in the design of materials and computational models to mimic the response of the brain during injury, facilitate prediction of mechanical damage, and enable engineering of protective strategies. Additionally, such information can be used to consider design targets for tissue regeneration, and to better understand structural changes in brain tissue that are associated with diseases such as multiple sclerosis and autism. Here, we describe and demonstrate several experimental approaches that are available to characterize the viscoelastic properties of mechanically compliant tissues including brain tissue, at the micro-, meso-, and macro-scales.
At the microscale, we conducted creep-compliance and force relaxation experiments using atomic force microscope (AFM)-enabled indentation. Typically, AFM-enabled indentation is used to estimate the elastic modulus (or instantaneous stiffness) of a sample 2-4. However, the same instrument can also be used to measure microscale viscoelastic (time- or rate-dependent) properties 5-10. The principle of these experiments, shown in Figure 1, is to indent an AFM cantilevered probe into the brain tissue, maintain a specified magnitude of force or indentation depth, and measure the corresponding changes in indentation depth and force, respectively, over time. Using these data, we can calculate the creep compliance JC and relaxation modulus GR, respectively.
At the mesoscale, we conducted impact indentation experiments in fluid-immersed conditions that maintain the tissue structure and hydration levels, using a pendulum-based instrumented nanoindenter. The experimental setup is illustrated in Figure 2. As the pendulum swings into contact with the tissue, probe displacement is recorded as a function of time until the oscillating pendulum comes to rest within the tissue. From the resulting damped harmonic oscillatory motion of the probe, we can calculate the maximum penetration depth xmax, energy dissipation capacity K, and dissipation quality factor Q (which relates to the rate of energy dissipation) of the tissue 11,12.
At the macroscale, we used a parallel plate rheometer to quantify the frequency dependent shear elastic moduli, termed the storage modulus G&#39; and loss modulus G&#34;, of the tissue. In this type of rheometry, we apply a harmonic angular strain (and corresponding shear strain) at known amplitudes and frequencies and measure the reactional torque (and corresponding shear stress), as shown in Figure 3. From the resulting amplitude and phase lag of the measured torque and geometric variables of the system, we can calculate G&#39; and G&#34; at applied frequencies of interest 13,14.

<table><tbody><tr><td>Xylazine</td><td>Lloyd Laboratoried</td><td></td><td>perscription drug</td></tr><tr><td>Ketamine</td><td>AnaSed Injections</td><td></td><td>perscription drug</td></tr><tr><td>Vibratome (Vibrating blade microtome)</td><td>Leica</td><td>VT1200</td><td></td></tr><tr><td>Hibernate-A Medium</td><td>Gibco</td><td>A1247501</td><td>CO&lt;sub&gt;2&lt;/sub&gt;-independent neural medium for adult tissue</td></tr><tr><td>Atomic Force Microscope, MFP-3D-BIO</td><td>Asylum Research</td><td>-</td><td></td></tr><tr><td>Petri Dish Heater</td><td>Asylum Research</td><td>-</td><td></td></tr><tr><td>AFM Probe, 0.03 N/m, 10&amp;nbsp;&amp;micro;m radius borosilicate sphere</td><td>Novascan</td><td>PT.GS</td><td></td></tr><tr><td>Cell-Tak</td><td>Corning</td><td>354240</td><td>mussel-derived bioadhesive</td></tr><tr><td>Sodium Bicarbonate</td><td>Sigma-Aldrich</td><td>S5761</td><td>alternate suppliers can be used</td></tr><tr><td>Sodium Hydroxide, 1 N</td><td>Sigma-Aldrich</td><td>59223C</td><td>alternate suppliers can be used</td></tr><tr><td>Instrumented Indenter, NanoTest Vantage</td><td>Micro Materials Ltd.</td><td>-</td><td>probe tip needs to be machined (steel flat punch, 1&amp;nbsp;mm diameter, 4-5&amp;nbsp;mm length)</td></tr><tr><td>NanoTest Liquid Cell</td><td>Micro Materials Ltd.</td><td>-</td><td></td></tr><tr><td>Parallel Plate Rheometer MCR501</td><td>Anton-Parr</td><td>-</td><td></td></tr><tr><td>PP25&amp;nbsp;</td><td>Anton-Parr</td><td>-</td><td>25 mm diameter flat measurement plate</td></tr><tr><td>Adhesive Sandpaper</td><td>McMaster-Carr</td><td>4184A48</td><td>alternate suppliers can be used</td></tr><tr><td>Loctite 4013 Instant Adhesive</td><td>Henkel</td><td>20268</td><td>alternate suppliers can be used</td></tr></tbody></table>

characterizing multiscale mechanical properties of brain tissue using atomic force microscopy, impact indentation, and rheometry

To design and engineer materials inspired by the properties of the brain, whether for mechanical simulants or for tissue regeneration studies, the brain tissue itself must be well characterized at various length and time scales. Like many biological tissues, brain tissue exhibits a complex, hierarchical structure. However, in contrast to most other tissues, brain is of very low mechanical stiffness, with Young&#39;s elastic moduli E on the order of 100s of Pa. This low stiffness can present challenges to experimental characterization of key mechanical properties. Here, we demonstrate several mechanical characterization techniques that have been adapted to measure the elastic and viscoelastic properties of hydrated, compliant biological materials such as brain tissue, at different length scales and loading rates. At the microscale, we conduct creep-compliance and force relaxation experiments using atomic force microscope-enabled indentation. At the mesoscale, we perform impact indentation experiments using a pendulum-based instrumented indenter. At the macroscale, we conduct parallel plate rheometry to quantify the frequency dependent shear elastic moduli. We also discuss the challenges and limitations associated with each method. Together these techniques enable an in-depth mechanical characterization of brain tissue that can be used to better understand the structure of brain and to engineer bio-inspired materials.

Figure 4 shows representative indentation and force vs. time responses (Figure 4B,E) for creep compliance and force relaxation experiments, given an applied force or indentation depth (Figure 4A,D), respectively. Using these data and the geometry of the system, the creep compliance Jc(t) and force relaxation moduli GR(t) can be calculated for different regions of the brain (Figure 4C,F</stro...

Watch this Scientific Journal Video about Characterizing Multiscale Mechanical Properties of Brain Tissue Using Atomic Force Microscopy, Impact Indentation, and Rheometry at JoVE.com

Characterizing Multiscale Mechanical Properties of Brain Tissue Using Atomic Force Microscopy, Impact Indentation, and Rheometry

We present a set of techniques to characterize the viscoelastic mechanical properties of brain at the micro-, meso-, and macro-scales.

To design and engineer materials inspired by the properties of the brain, whether for mechanical simulants or for tissue regeneration studies, the brain ...

characterizing-multiscale-mechanical-properties-brain-tissue-using

Research

JoVE Journal

Neuroscience

12.2K Views.  Massachusetts Institute of Technology. We present a set of techniques to characterize the viscoelastic mechanical properties of brain at the micro-, meso-, and macro-scales.

Video: Characterizing Multiscale Mechanical Properties of Brain Tissue Using Atomic Force Microscopy, Impact Indentation, and Rheometry

Measuring the Mechanical Properties of Living Cells Using Atomic Force Microscopy

Mechanical properties of cells and extracellular matrix (ECM) play important roles in many biological processes including stem cell differentiation, tumor formation, and wound healing. Changes in stiffness of cells and ECM are often signs of changes in cell physiology or diseases in tissues. Hence, cell stiffness is an index to evaluate the status of cell cultures. Among the multitude of methods applied to measure the stiffness of cells and tissues, micro-indentation using an Atomic Force Microscope (AFM) provides a way to reliably measure the stiffness of living cells. This method has been widely applied to characterize the micro-scale stiffness for a variety of materials ranging from metal surfaces to soft biological tissues and cells. The basic principle of this method is to indent a cell with an AFM tip of selected geometry and measure the applied force from the bending of the AFM cantilever. Fitting the force-indentation curve to the Hertz model for the corresponding tip geometry can give quantitative measurements of material stiffness. This paper demonstrates the procedure to characterize the stiffness of living cells using AFM. Key steps including the process of AFM calibration, force-curve acquisition, and data analysis using a MATLAB routine are demonstrated. Limitations of this method are also discussed.

This paper demonstrates a protocol to characterize the mechanical properties of living cells by means of microindentation using an Atomic Force Microscope (AFM).

Mechanical  properties of cells and extracellular matrix (ECM) play important roles in many  biological processes including stem cell differentiation, ...

Bioengineering

Quantitative Hardness Measurement by Instrumented AFM-indentation

In this work, a combination of amplitude-modulated non-contact atomic force microscopy and atomic force spectroscopy is applied for instrumented hardness measurements on an Au(111) surface with atomistic resolution of single plasticity events. A careful experimental procedure is described that includes the force sensor selection, its calibration, the calibration of the cantilever deflection detection system, and the minimization of instrumental drift for accurate and reproducible force-distance measurements. Also, a method for the data analysis is presented that allows the extraction of force-penetration curves from recorded force-distance curves. A typical curve displays a clear elastic deformation regime up to the first plasticity event, or pop-in, with a length in the range of one to two Burger's vectors. Later plasticity events exhibit the same magnitude. The work of plasticity is further extracted from the measurements. Finally, the hardness is determined in combination with the indentation curve using non-contact atomic force microscopy images of the remaining indents.

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.

In this work, a combination of amplitude-modulated non-contact atomic force microscopy and atomic force spectroscopy is applied for instrumented hardness ...

Engineering

Characterization Of Multi-layered Fish Scales (Atractosteus spatula) Using Nanoindentation, X-ray CT, FTIR, and SEM

The hierarchical architecture of protective biological materials such as mineralized fish scales, gastropod shells, ram&#8217;s horn, antlers, and turtle shells provides unique design principles with potentials for guiding the design of protective materials and systems in the future. Understanding the structure-property relationships for these material systems at the microscale and nanoscale where failure initiates is essential. Currently, experimental techniques such as nanoindentation, X-ray CT, and SEM provide researchers with a way to correlate the mechanical behavior with hierarchical microstructures of these material systems1-6. However, a well-defined standard procedure for specimen preparation of mineralized biomaterials is not currently available. In this study, the methods for probing spatially correlated chemical, structural, and mechanical properties of the multilayered scale of A. spatula using nanoindentation, FTIR, SEM, with energy-dispersive X-ray (EDX) microanalysis, and X-ray CT are presented.

Characterization Of Multi-layered Fish Scales Atractosteus spatula Using Nanoindentation, X-ray CT, FTIR, and SEM

This paper presents the methods used for probing spatially correlated chemical, structural, and mechanical properties of the multilayered scale of Atractosteus spatula (A. spatula) using nanoindentation, Fourier transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM), and X-ray computed tomography (X-ray CT). The experimental results have been used to investigate the design principles of protective biological materials.

The hierarchical architecture of protective biological materials such as mineralized fish scales, gastropod shells, ram&#8217;s horn, antlers, and turtle ...

Atomic Force Microscopy Cantilever-Based Nanoindentation: Mechanical Property Measurements at the Nanoscale in Air and Fluid

An atomic force microscope (AFM) fundamentally measures the interaction between a nanoscale AFM probe tip and the sample surface. If the force applied by the probe tip and its contact area with the sample can be quantified, it is possible to determine the nanoscale mechanical properties (e.g., elastic or Young&#39;s modulus) of the surface being probed. A detailed procedure for performing quantitative AFM cantilever-based nanoindentation experiments is provided here, with representative examples of how the technique can be applied to determine the elastic moduli of a wide variety of sample types, ranging from kPa to GPa. These include live mesenchymal stem cells (MSCs) and nuclei in physiological buffer, resin-embedded dehydrated loblolly pine cross-sections, and Bakken shales of varying composition.
Additionally, AFM cantilever-based nanoindentation is used to probe the rupture strength (i.e., breakthrough force) of phospholipid bilayers. Important practical considerations such as method choice and development, probe selection and calibration, region of interest identification, sample heterogeneity, feature size and aspect ratio, tip wear, surface roughness, and data analysis and measurement statistics are discussed to aid proper implementation of the technique. Finally, co-localization of AFM-derived nanomechanical maps with electron microscopy techniques that provide additional information regarding elemental composition is demonstrated.

Quantifying the contact area and force applied by an atomic force microscope (AFM) probe tip to a sample surface enables nanoscale mechanical property determination. Best practices to implement AFM cantilever-based nanoindentation in air or fluid on soft and hard samples to measure elastic modulus or other nanomechanical properties are discussed.

An atomic force microscope (AFM) fundamentally measures the interaction between a nanoscale AFM probe tip and the sample surface. If the force applied by ...

Micro-Mechanical Characterization of Lung Tissue Using Atomic Force Microscopy

Matrix stiffness strongly influences growth, differentiation and function of adherent cells1-3. On the macro scale the stiffness of tissues and organs within the human body span several orders of magnitude4. Much less is known about how stiffness varies spatially within tissues, and what the scope and spatial scale of stiffness changes are in disease processes that result in tissue remodeling. To better understand how changes in matrix stiffness contribute to cellular physiology in health and disease, measurements of tissue stiffness obtained at a spatial scale relevant to resident cells are needed. This is particularly true for the lung, a highly compliant and elastic tissue in which matrix remodeling is a prominent feature in diseases such as asthma, emphysema, hypertension and fibrosis. To characterize the local mechanical environment of lung parenchyma at a spatial scale relevant to resident cells, we have developed methods to directly measure the local elastic properties of fresh murine lung tissue using atomic force microscopy (AFM) microindentation. With appropriate choice of AFM indentor, cantilever, and indentation depth, these methods allow measurements of local tissue shear modulus in parallel with phase contrast and fluorescence imaging of the region of interest. Systematic sampling of tissue strips provides maps of tissue mechanical properties that reveal local spatial variations in shear modulus. Correlations between mechanical properties and underlying anatomical and pathological features illustrate how stiffness varies with matrix deposition in fibrosis. These methods can be extended to other soft tissues and disease processes to reveal how local tissue mechanical properties vary across space and disease progression.

The stiffness of the extracellular matrix strongly influences multiple behaviors of adherent cells. Matrix stiffness varies spatially throughout a tissue, and undergoes modification in various disease conditions. Here we develop methods to characterize spatial variations in stiffness in normal and fibrotic mouse lung tissue using atomic force microscopy microindentation.

Matrix stiffness strongly influences growth, differentiation and function of adherent cells1-3.  On the macro scale the stiffness of tissues and organs ...

Biology

Application of Atomic Force Microscopy to Detect Early Osteoarthritis

Biomechanical properties of cells and tissues not only regulate their shape and function but are also crucial for maintaining their vitality. Changes in elasticity can propagate or trigger the onset of major diseases like cancer or osteoarthritis (OA). Atomic force microscopy (AFM) has emerged as a strong tool to qualitatively and quantitatively characterize the biomechanical properties of specific biological target structures on a microscopic scale, measuring forces in a range from as small as the piconewton to the micronewton. Biomechanical properties are of special importance in musculoskeletal tissues, which are subjected to high levels of strain. OA as a degenerative disease of the cartilage results in the disruption of the pericellular matrix (PCM) and the spatial rearrangement of the chondrocytes embedded in their extracellular matrix (ECM). Disruption in PCM and ECM has been associated with changes in the biomechanical properties of cartilage. In the present study we used AFM to quantify these changes in relation to the specific spatial pattern changes of the chondrocytes. With each pattern change, significant changes in elasticity were observed for both the PCM and ECM. Measuring the local elasticity thus allows for drawing direct conclusions about the degree of local tissue degeneration in OA.

We present a method to investigate early osteoarthritic changes at the cellular level in articular cartilage by using atomic force microscopy (AFM).

Biomechanical properties of cells and tissues not only regulate their shape and function but are also crucial for maintaining their vitality. Changes in ...

Near Simultaneous Laser Scanning Confocal and Atomic Force Microscopy (Conpokal) on Live Cells

Techniques available for micro- and nano-scale mechanical characterization have exploded in the last few decades. From further development of the scanning and transmission electron microscope, to the invention of atomic force microscopy, and advances in fluorescent imaging, there have been substantial gains in technologies that enable the study of small materials. Conpokal is a portmanteau that combines confocal microscopy with atomic force microscopy (AFM), where a probe &#8220;pokes&#8221; the surface. Although each technique is extremely effective for the qualitative and/or quantitative image collection on their own, Conpokal provides the capability to test with blended fluorescence imaging and mechanical characterization. Designed for near simultaneous confocal imaging and atomic force probing, Conpokal facilitates experimentation on live microbiological samples. The added insight from paired instrumentation provides co-localization of measured mechanical properties (e.g., elastic modulus, adhesion, surface roughness) by AFM with subcellular components or activity observable through confocal microscopy. This work provides a step by step protocol for the operation of laser scanning confocal and atomic force microscopy, simultaneously, to achieve same cell, same region, confocal imaging, and mechanical characterization.

Near Simultaneous Laser Scanning Confocal and Atomic Force Microscopy Conpokal on Live Cells

Presented here is the protocol of the Conpokal technique, which combines confocal and atomic force microscopy into a single instrument platform. Conpokal provides same cell, same region, near simultaneous confocal imaging and mechanical characterization of live biological samples.

Techniques available for micro- and nano-scale mechanical characterization have exploded in the last few decades. From further development of the scanning ...

Experimental and Data Analysis Workflow for Soft Matter Nanoindentation

Nanoindentation refers to a class of experimental techniques where a micrometric force probe is used to quantify the local mechanical properties of soft biomaterials and cells. This approach has gained a central role in the fields of mechanobiology, biomaterials design&#160;and tissue engineering, to obtain a proper mechanical characterization of soft materials with a resolution comparable to the size of single cells (&#956;m). The most popular strategy to acquire such experimental data is to employ an atomic force microscope (AFM); while this instrument offers an unprecedented resolution in force (down to pN) and space (sub-nm), its usability is often limited by its complexity that prevents routine measurements of integral indicators of mechanical properties, such as Young&#39;s Modulus (E). A new generation of nanoindenters, such as those based on optical fiber sensing technology, has recently gained popularity for its ease of integration while allowing to apply sub-nN forces with &#181;m spatial resolution, therefore being suitable to probe local mechanical properties of hydrogels and cells.
In this protocol, a step-by-step guide detailing the experimental procedure to acquire nanoindentation data on hydrogels and cells using a commercially available ferrule-top optical fiber sensing nanoindenter is presented. Whereas some steps are specific to the instrument used herein, the proposed protocol can be taken as a guide for other nanoindentation devices, granted some steps are adapted according to the manufacturer&#39;s guidelines. Further, a new open-source Python software equipped with a user-friendly graphical user interface for the analysis of nanoindentation data is presented, which allows for screening of incorrectly acquired curves, data filtering, computation of the contact point through different numerical procedures, the conventional computation of E, as well as a more advanced analysis particularly suited for single-cell nanoindentation data.

The protocol presents a complete workflow for soft material nanoindentation experiments, including hydrogels and cells. First, the experimental steps to acquire force spectroscopy data are detailed; then, the analysis of such data is detailed through a newly developed open-source Python software, which is free to download from GitHub.

Nanoindentation refers to a class of experimental techniques where a micrometric force probe is used to quantify the local mechanical properties of soft ...

Addressing Practical Issues in Atomic Force Microscopy-Based Micro-Indentation on Human Articular Cartilage Explants

Without a doubt, atomic force microscopy (AFM) is currently one of the most powerful and useful techniques to assess micro and even nano-cues in the biological field. However, as with any other microscopic approach, methodological challenges can arise. In particular, the characteristics of the sample, sample preparation, type of instrument, and indentation probe can lead to unwanted artifacts. In this protocol, we exemplify these emerging issues on healthy as well as osteoarthritic articular cartilage explants. To this end, we first show via a step-by-step approach how to generate, grade, and visually classify ex vivo articular cartilage discs according to different stages of degeneration by means of large 2D mosaic fluorescence imaging of the whole tissue explants. The major strength of the ex vivo model is that it comprises aged, native, human cartilage that allows the investigation of osteoarthritis-related changes from early onset to progression. In addition, common pitfalls in tissue preparation, as well as the actual AFM procedure together with the subsequent data analysis, are also presented. We show how basic but crucial steps such as sample preparation and processing, topographic sample characteristics caused by advanced degeneration, and sample-tip interaction can impact data acquisition. We also subject to scrutiny the most common problems in AFM and describe, where possible, how to overcome them. Knowledge of these limitations is of the utmost importance for correct data acquisition, interpretation, and, ultimately, the embedding of findings into a broad scientific context.

We present a step-by-step approach to identify and address the most common problems associated with atomic force microscopy micro-indentations. We exemplify the emerging problems on native human articular cartilage explants characterized by various degrees of osteoarthritis-driven degeneration.

Without a doubt, atomic force microscopy (AFM) is currently one of the most powerful and useful techniques to assess micro and even nano-cues in the ...

Extracting the Young's Modulus of Native Murine Pulmonary Basement Membranes from Atomic Force Microscopy Derived Force Maps

Atomic force microscopy (AFM) allows the characterization of the mechanical properties of a sample with a spatial resolution of several tens of nanometers. Because mammalian cells sense and react to the mechanics of their immediate microenvironment, the characterization of biomechanical properties of tissues with high spatial resolution is crucial for understanding various developmental, homeostatic, and pathological processes. The basement membrane (BM), a roughly 100 - 400 nm thin extracellular matrix (ECM) substructure, plays a significant role in tumor progression and metastasis formation. Although determining Young&#39;s modulus of such a thin ECM substructure is challenging, biomechanical data of the BM provides fundamental new insights into how the BM affects cell behavior and, in addition, offers valuable diagnostic potential. Here, we present a visualized protocol for assessing BM mechanics in murine lung tissue, which is one of the major organs prone to metastasis. We describe an efficient workflow for determining the Young&#39;s modulus of the BM, which is located between the endothelial and epithelial cell layers in lung tissue. The step-by-step instructions comprise murine lung tissue freezing, cryosectioning, and AFM force-map recording on tissue sections. Additionally, we provide a semi-automatic data analysis procedure using the CANTER Processing Toolbox, an in-house developed user-friendly AFM data analysis software. This tool enables automatic loading of recorded force maps, conversion of force versus piezo-extension curves to force versus indentation curves, computation of Young&#39;s moduli, and generation of Young&#39;s modulus maps. Finally, it shows how to determine and isolate Young&#39;s modulus values derived from the pulmonary BM through the use of a spatial filtering tool.

This protocol visualizes how to prepare cryosections of murine lung tissue, perform atomic force microscopy force map experiments, and analyze the data to determine Young's modulus of the native murine pulmonary basement membrane.