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Elastic modulus: Single curve analysis and force volume mapping
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SPIP™ has features for fitting currently two indentation models to force curves yielding the elastic modulus (Young’s modulus) as the main result. In addition to analyzing individual force curves SPIP™ can also create Young’s modulus maps from the force curves in force volume datasets.
Models
SPIP™ provides two indentation models for extracting Young’s modulus from force curves and from force volume images. The first model is the classic rigid sphere on flat surface model, known as the Hertz1 model. The other model derived by Sneddon2 assumes a rigid cone indenting a soft flat surface. Both models do not include adhesion and visco-elasticity. The Hertz model is valid for indentations significantly smaller than the sphere radius. For the Sneddon model the indentation has to be so large that the cone apex can be considered infinitely sharp.

Figure 1.
 
Left:
The hard sphere on soft surface known as the Hertz model.
 
Right:
The rigid cone on soft surface model by Sneddon.
 
Single curve analysis
Figure 1 shows a force curve pair after transformation into force versus separation. The Hertz model has been fitted to the approach curve.  The fitted Young’s modulus is about 18 MPa.
Figure 2.
 
Approach (blue) and retract (red) curves transf-ormed into force versus separation, S, (opposite sign of indentation) with the Hertz model fitted to the approach curve.  
 

Mapping the elastic modulus
SPIP™ not only fits the indentation models to single force curves but also makes a fit to each curve in a force volume image producing as the result an elasticity map. An example is shown in Figure 2. The left image is a topography image. The visible structure is a Primary Cilium from epithelial kidney cells. The image to the right is the corresponding Young’s modulus (elastic modulus) map. A section profile over the structure is shown below the images.
 

Figure 3.
 
Left:
Topography image.
 
Right:
Young’s modulus image.
 
Bottom:
Section profile from the Young’s modulus image.
 
 

Careful choice and estimation of sensor properties
The indentation fits are sensitive to the input parameters. Besides the explicit parameters in the model, input parameters also include the cantilever sensitivity and the spring constant. So for the tip/cantilever there are three parameters which have to be determined or estimated – all fairly difficult to assess. In particular the detector sensitivity factor which is the conversion factor of detector signal in volts to cantilever deflection in nanometers constitutes a potential source to errors. This has to be calculated from force curves recorded on a rigid surface. If such areas are present in the force volume image no extra experiments are required. In the example reported here, we have merely guessed the tip radius to 25 nm, the spring constant to 0.05 N/m and the sensitivity factor to 0.1 V/nm.

A careful look at Figure 1 reveals that the fit range used here is of the same magnitude as the assumed tip radius – according to the model it should be smaller! Hence restricting the fitting range to e.g. 0.01 nN  would have been more correct. For the Poisson’s ratio we have used a value of 0.5 (as for perfect rubber).  
 

Acknowledgements
The image, of which the structure is a Primary Cilium from epithelial kidney cells, has kindly been provided by Dr. Terry McMaster, Dr. David Sheppard and Jo Evangelides, University of Bristol, UK.
 

The following references have contributed to this application:
Contributions by Dr. Terry McMasterDr. Terry McMaster, Department of Physics, University of Bristol, Tyndall Avenue, Bristol, BS8 1TL


Related Publications:
SSurface Energy and the Contact of Elastic solids
The Relation Between Load and Penetration in the Axisymmetric Boussinesq Problem for a Punch of Arbitrary Profile
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