Microrheology

Passive microrheology

• Passive microrheology * uses the thermal energy (kT) to move the tracers, although recent evidence suggests that active random forces inside cells may instead move the tracers in a diffusive-like manner. The trajectories of the tracers are measured optically either by microscopy, or alternatively by light scattering techniques. Diffusing-wave spectroscopy (DWS) is a common choice that extends light scattering measurement techniques to account for multiple scattering events. From the mean squared displacement with respect to time (noted MSD or 2 ), one can calculate the visco-elastic moduli G′(ω) and G″(ω) using the generalized Stokes–Einstein relation (GSER). Here is a view of the trajectory of a particle of micrometer size.

Image:Brownian_trajectory.png|Typical trajectory of a Brownian particle (simulation) Image:examples_MSD_pure_viscous_and_elastic.png|Two examples of MSD: one for a purely viscous fluid (free diffusion) and one for a viscolelastic fluid (trapped by elastic network) Image:Film particule ds polymere.gif|Animation of a particle in a polymer-like network

In a standard passive microrheology test, the movement of dozens of tracers is tracked in a single video frame. The motivation is to average the movements of the tracers and calculate a robust MSD profile.

Observing the MSD for a wide range of integration time scales (or frequencies) gives information on the microstructure of the medium where are diffusing the tracers.

If the tracers are experiencing free diffusion in a purely viscous material, the MSD should grow linearly with sampling integration time:

\langle \Delta r^2\rangle=4Dt.

If the tracers are moving in a spring-like fashion within a purely elastic material, the MSD should have no time dependence:

\langle \Delta r^2\rangle=\text{Const}

In most cases the tracers are presenting a sub-linear integration-time dependence, indicating the medium has intermediate viscoelastic properties. Of course, the slope changes in different time scales, as the nature of the response from the material is frequency dependent.

Microrheology is another way to do linear rheology. Since the force involved is very weak (order of 10−15 N), microrheology is guaranteed to be in the so-called linear region of the strain/stress relationship. It is also able to measure very small volumes (biological cell).

Given the complex viscoelastic modulus G(\omega)=G'(\omega)+i G*(\omega), with G′(ω) the elastic (conservative) part and G″(ω) the viscous (dissipative) part and ω=2*πf'' the pulsation. The GSER is as follows: :\tilde{G}(s)=\frac{k_{\mathrm{B}}T}{\pi a s \langle\Delta \tilde{r}^{2}(s)\rangle}

with :\tilde{G}(s): Laplace transform of G :kB: Boltzmann constant :T: temperature in kelvins :s: the Laplace frequency :a: the radius of the tracer :\langle\Delta \tilde{r}^{2}(s)\rangle: the Laplace transform of the mean squared displacement

A related method of passive microrheology involves the tracking positions of a particle at high frequency, often with a quadrant photodiode. |name-list-style=amp |date=1997 |name-list-style=amp |date=1997 :G(\omega) = \frac{1}{6 \pi a \alpha(\omega)} : :

Two Point Microrheology

Source:

There could be many artifacts that change the values measured by the passive microrheology tests, resulting in a disagreement between microrheology and normal rheology. These artifacts include tracer-matrix interactions, tracer-matrix size mismatch and more.

A different microrheological approach studies the cross-correlation of two tracers in the same sample. In practice, instead of measuring the MSD \langle \Delta r^2\rangle, movements of two distinct particles are measured - \langle\Delta r_1 \Delta r_2\rangle. Calculating the G(ω) of the medium between the tracers follows:

\tilde{G}(s)=\frac{k_{\mathrm{B}}T}{2\pi R s \langle\Delta \tilde{r}_1(s)\Delta \tilde{r}_2(s)\rangle}

Notice this equation does not depend on a, but instead in depends on R - the distance between the tracers (assuming Ra).

Some studies has shown that this method is better in coming to agreement with standard rheological measurements (in the relevant frequencies and materials)

Active microrheology

Active microrheology may use a magnetic field ,{{cite journal |display-authors=etal |name-list-style=amp |date=1989 |name-list-style=amp |date=1994 |display-authors=etal |display-authors=etal |display-authors=etal |display-authors=etal |article-number=026308 |display-authors=etal |article-number= 044022 |display-authors=etal |article-number=115032

The force applied is a sinusoidal force with amplitude A and frequency ω -

F=A \sin(\omega t)

The response of the tracer is a factor of the matrix visco-elastic nature. If a matrix is totally elastic (a solid), the response to the acting force should be immediate and the tracers should be observed moving by-

X_e=B \sin(\omega t).

with A/B = G(\omega).

On the other hand, if the matrix is totally viscous (a liquid), there should be a phase shift of 90^o between the strain and the stress -

X_v=B \sin(\omega t + 90^o) = B\cos(\omega t)

in reality, as most materials are visco-elastic, the phase shift observed is 0.

When φ45 the matrix is considered mostly in its "viscous domain" and when φ

Given a measured response phase shift φ (sometimes noted as δ), this ratio applies:

\frac{G''}{G'}=\frac{\frac{A}{B}\sin(\varphi)}{\frac{A}{B}\cos(\varphi)}=\tan(\varphi)

Similar response phase analysis is used in regular rheology testing.

More recently, it has been developed into Force spectrum microscopy to measure contributions of random active motor proteins to diffusive motion in the cytoskeleton.{{cite journal|title=Probing the Stochastic, Motor-Driven Properties of the Cytoplasm Using Force Spectrum Microscopy|last1=Guo|first1=Ming|display-authors=etal|journal=Cell|date=2014|volume=158

References

References

1. Furst, Eric M.. (2017). "Microrheology".
2. Weitz, D. A., John C. Crocker. (2000). "Two-Point Microrheology of Inhomogeneous Soft Materials". Phys. Rev. Lett..
3. David Engström. (2012). "Unconventional structure-assisted optical manipulation of high-index nanowires in liquid crystals". [[Optics Express]].
4. (2017-05-01). "High-frequency microrheology reveals cytoskeleton dynamics in living cells". Nature Physics.