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Principles of Fluorescence Spectroscopy

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802 FLUORESCENCE CORRELATION SPECTROSCOPY<br />

based on the detection pr<strong>of</strong>ile p(r). The autocorrelation<br />

function for the intensity fluctuation is given by<br />

B<br />

G(τ) <br />

2 p(r)p(r’) dVd’V<br />

BCp(r)dV 2<br />

(24.10)<br />

where r is the position <strong>of</strong> the fluorophore at t = 0 and r' is<br />

its position at t = τ. This formidable expression can be<br />

understood as follows. The denominator contains the average<br />

intensity, which is given by the product <strong>of</strong> the brightness<br />

B, mean concentration , and the detection pr<strong>of</strong>ile <strong>of</strong><br />

the instrument integrated over the observed volume. The<br />

concentration term and brightness appear outside the integral<br />

because Q is independent <strong>of</strong> position, and only the<br />

average concentration is needed to calculate the average<br />

intensity. The detection pr<strong>of</strong>ile p(r) accounts for the excitation<br />

and detection efficiency. The numerator calculates the<br />

intensity fluctuations from the concentration fluctuations at<br />

each point in the sample, which is then integrated over the<br />

observed volume. When the fluorophore moves from r to a<br />

new location r', its brightness becomes proportional to the<br />

detection pr<strong>of</strong>ile at this position p(r'). The integral extends<br />

over the observed volume for all the fluorophores present in<br />

the volume. The term B2 C<br />

is again outside the integral<br />

because the intrinsic brightness <strong>of</strong> the fluorophore does not<br />

depend on position. Remarkably, the correlation function<br />

(but not the S/N ratio) is independent <strong>of</strong> fluorophore brightness,<br />

which cancels in eq. 24.10. This makes sense because<br />

we are measuring the correlation between fluorophore locations,<br />

which should not depend on the brightness <strong>of</strong> the fluorophore.<br />

It is instructive to consider the number <strong>of</strong> fluorophores<br />

in a typical FCS experiment. A diffraction-limited volume<br />

will typically have a diameter <strong>of</strong> 0.5 µm and a total length<br />

<strong>of</strong> 2 µm. For this size and shape the effective volume is 0.35<br />

fl. The effective volume is not equal to the geometric volume<br />

<strong>of</strong> an ellipsoid because the detection pr<strong>of</strong>ile does not<br />

have sharp boundaries. Figure 24.6 shows calculations <strong>of</strong><br />

the number <strong>of</strong> fluorophores in this volume. Occupation<br />

numbers <strong>of</strong> 2 to 20 are expected for fluorophore concentrations<br />

from 9.6 to 96 nM. The width <strong>of</strong> the distribution is<br />

given by √N and increases with the occupation number, as<br />

characteristic for a Poisson distribution.<br />

Equation 24.10 is not limited to diffusion and can be<br />

used to derive a correlation function for any process that<br />

results in the intensity fluctuations. Chemical or photochemical<br />

processes that change the brightness <strong>of</strong> a fluo-<br />

Figure 24.6. Poisson distribution in an ellipsoidal volume for various<br />

fluorophore concentrations. The volume <strong>of</strong> a geometric ellipsoid with<br />

s = 0.25 µm and u = 1.0 µm is 0.26 fl.<br />

rophore can also be studied. In place <strong>of</strong> δC(r,τ) eq. 24.10 is<br />

then used with a different r' model to derive the expected<br />

autocorrelation function.<br />

24.2.1. Translational Diffusion and FCS<br />

Perhaps the most common application <strong>of</strong> FCS is to measure<br />

translational diffusion. The rate <strong>of</strong> diffusion depends on the<br />

size <strong>of</strong> the molecule and its interactions with other molecules.<br />

The correlation function for diffusion in three dimensions<br />

is given by 18<br />

<br />

C (4πDτ) 3/2 exp|r r’| 2 /4Dτ<br />

(24.11)<br />

where D is the diffusion coefficient. Insertion <strong>of</strong> eq. 24.11<br />

in 24.10, using the Gaussian detection pr<strong>of</strong>ile (eq. 24.9) and<br />

some complex mathematics, yields the correlation function<br />

for three-dimensional diffusion:<br />

G(τ) G(0) ( 1 4Dτ<br />

s2 ) 1<br />

( 1 4Dτ<br />

u2 ) 1/2<br />

G(0)D(τ)<br />

(24.12)<br />

where G(0) is the amplitude at τ = 0. For future convenience<br />

we define D(τ) as the portion <strong>of</strong> the correlation function

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