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. 2010 Aug 17;5(8):e12216. doi: 10.1371/journal.pone.0012216

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Villa et al.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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Distribution of the x (sparse pattern) and y (dense pattern) displacements normalized to the square root of the lag time between frames measured on a time series of images of cSLN particles in epithelial cells. Only subsequent detection of the particles have been selected in the analysis. The solid lines are Gaussian functions, , globally fit to both the data sets. The common (globally fitted to the x- and y- displacements) best fit diffusion coefficient of the cSLNs is D = 0.022±0.01 µm²/s. We have employed the non linear least square (Levenberg-Marquardt) fitting routine of Origin 7.0 (OriginLab Corp.) with statistical (Poisson) weight on the data.

Inline graphic — Distribution of the x (sparse pattern) and y (dense pattern) displacements normalized to the square root of the lag time between frames measured on a time series of images of cSLN particles in epithelial cells. Only subsequent detection of the particles have been selected in the analysis. The solid lines are Gaussian functions, , globally fit to both the data sets. The common (globally fitted to the x- and y- displacements) best fit diffusion coefficient of the cSLNs is D = 0.022±0.01 µm²/s. We have employed the non linear least square (Levenberg-Marquardt) fitting routine of Origin 7.0 (OriginLab Corp.) with statistical (Poisson) weight on the data.