This master’s thesis presents the measurement of intracellular dynamics using differential dynamic microscopy. The described method uses real-space microscope video; using the Fourier transform, individual frames are converted into k-space, where the fluctuations in light intensity are observed. These measurements are utilized to calculate the dynamics of the observed sample. Validating the data processing involves measuring the dynamics of simulated Brownian motion of spherical particles, with known theoretical diffusion coefficient values. The primary emphasis is on discerning the differences in intracellular dynamics of cells when experiencing oxidative stress compared to normal conditions. The results are then compared with the video particle tracking method, wherein the mean square displacement is calculated on the basis of the measured trajectories of particles.
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