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5 9 0 14 6. The home of over 5. Easily clip, save and share what you find with family and friends. Easily download and save what you find. We describe a technique for deconvolving the stochastic motion of particles from large-scale fluid flow in a dynamic environment such as that found in living cells. The method leverages the separation of timescales to subtract out the persistent component of motion from single-particle trajectories. The mean-squared displacement of the resulting trajectories is rescaled so as to enable robust extraction of the diffusion coefficient and subdiffusive scaling exponent of the stochastic motion.
We demonstrate the applicability of the method for characterizing both diffusive and fractional Brownian motion overlaid by flow and analytically calculate the accuracy of the method in different parameter regimes. This technique is employed to analyze the motion of lysosomes in motile neutrophil-like cells, showing that the cytoplasm of these cells behaves as a viscous fluid at the timescales examined. The main objective of the stereological approach is to make estimations of parameters of geometrical structures using sampled information. The nature of the structure under study in itself does not matter. It may include any macro or microstructure in biology, materials sciences or indeed geology. This approach allows inference of geometrical parameters such as volume, surface area, number, thickness and spacing.
In the stereological approach, the exact nature or function of the structure is not important. Holes can also be considered as structures. The wide applicability of this approach is because it relies on basic facts of geometry and statistics. In Biology, it provides a spatial framework upon which to lay physiological and molecular information. Stereology has been applied to a wide variety of problems in Biology in fields such as Neurobiology, Reproductive Biology and Cancer Cell Biology. The stereological approach can provide access to the three-dimensional spatial framework of complex vascular beds. The aim of this paper is to highlight the usefulness of this approach to the study of the vasculature.
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