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Otherwise, we interpret that there are insufficient statistics to obtain reliable diffusion coefficients.
Reliable diffusion data is crucial in the successful design of materials and manufacturing processes.
To obtain reliable diffusion parameters for diffusion testing, multiple experiments should not only be cross-checked but the internal consistency of each experiment should also be verified.
Thus, a reliable diffusion model decomposition of PES would require a relatively large data set (or a data set with many errors).
This allows these techniques to model the partial volume effect, which is not possible with conventional single-shell techniques, and therefore offers potential for more precise and reliable diffusion metrics.
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Recent developments in MR imaging make it possible to obtain reliable diffusion-weighted images of the abdomen.
The dynamic response of a membrane covered planar electrode system was investigated to derive a simplified middle point formula, the time at which amperometric current reaches half steady state value, that provided reliable solute diffusion coefficients.
Modelling of diffusion-controlled processes requires both a reliable theory of diffusion and reliable kinetic coefficients, as well as other thermodynamic data.
This method is based on linear approximations and enables the reliable exclusion of diffusion and concentration effects.
We are able to acquire >3400 autocorrelation functions at multiple spatial positions within a nucleus, without significant photobleaching, allowing us to make reliable estimates of diffusion dynamics.
This shows that the method is reliable for estimating diffusion coefficients in the range of 20 300 μm/s.
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