2005
DOI: 10.1088/1367-2630/7/1/023
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Tracking of single molecules as a powerful method to characterize diffusivity of organic species in mesoporous materials

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Cited by 76 publications
(103 citation statements)
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“…The lateral mobility of Cav1 vesicles near the basal PM of adherent cells was monitored by acquiring TIRFm image sequences and subsequent software-based vesicle tracking (Hellriegel et al, 2005). In each image, Cav1-GFP vesicles appeared as well-separated diffraction-limited spots of various intensities that were separated from each other by a few microns.…”
Section: High Spatiotemporal Resolution Particle Tracking For Cav1-gfpmentioning
confidence: 99%
“…The lateral mobility of Cav1 vesicles near the basal PM of adherent cells was monitored by acquiring TIRFm image sequences and subsequent software-based vesicle tracking (Hellriegel et al, 2005). In each image, Cav1-GFP vesicles appeared as well-separated diffraction-limited spots of various intensities that were separated from each other by a few microns.…”
Section: High Spatiotemporal Resolution Particle Tracking For Cav1-gfpmentioning
confidence: 99%
“…In contrast to those studies, we investigated the diffusional processes of various fluorescent dye molecules in the nanoporous network of sol-gel glasses [70] and in mesoporous materials [71] with the direct method of single molecule tracking. Furthermore we showed diffusional and orientational dynamics of various single dye molecules in nanostructured host-guest materials [72] and the switchable mobility of single TDI molecules in networks of long unidimensional nanochannels [73].…”
Section: Diffusion In Thin Silica Filmsmentioning
confidence: 99%
“…This distribution can be visualized in two ways: either in the form of a histogram or through cumulative probabilities. 59,60 The analysis of probability distributions (instead of histograms) allows for a more precise analysis and avoids any loss of information due to binning of the histogram. Hence, the following analysis was done by plotting the inverse of the cumulative probability C(R 2 ,t) of the squared displacements r 2 for different time lags t. The data was fitted with multiexponential decay functions: Regular diffusion should result in a monoexponential decay (n = 1), giving a characteristic value for the MSD hr 2 i (t)i for each time lag t. Fig.…”
Section: Downloaded By Ludwig Maximiliansmentioning
confidence: 99%