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G ( 2 ) ( T ) = [G(2)(T)]/[G(~) (0)12 = N X n(t) n(t + [X n(t)I2 T) Finally, Fig. 9 shows the photon correlation function summed over the 50 samples shown and normalized. For comparison, correlation functions summed over 1000 and 10,000 samples are shown. The smoothing effect of averaging over many samples is evident. When possible, experiments should involve long data collection times (>lo6 sample times) to reduce the random errors in the observed correlation functions. The scheme described is that of a full correlator; the electronic processing involved is sketched in Fig.

There is a more consistent relationship, however, between the r values for the different components within 10 20 1 1 L 30 40 50 TIME (rnsec) I 60 Fig. 18. Normalized correlation function from the tip region of a pollen tube. The circles represent data points and the line is that of the best fit solution found by the CONTIN program. 0 sec. 09 r The errors quoted for values are the width of the peak at half-height. a values are the relative signal strength of each component within each run; they cannot be compared as absolute values between runs.

In Vivo Studies. The behavior of particles inside living cells is of considerable biological interest. Studies of living cells by laser light scattering are complicated by the heterogeneity of particle sizes present and by the lack of information on the local viscosity to which the particles are subjected (see Section 11,A). The problems of heterogeneity can be reduced by selectively studying parts of cells containing a limited number of component types. Interpretation of data from such studies is greatly assisted by a detailed structural knowledge of the size and number density of the components present.

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