Your English writing platform
Discover LudwigSuggestions(2)
Exact(1)
Consequently, the work presented here successfully combines FCCS and PCH and FLIM to assess the intracellular localization, binding affinity, mobility, and composition of TLR9 and its ligands by estimating the diffusion time, number of molecules, fluorescence lifetime, brightness and stoichiometry of interaction (Figure 1a) in live single cells.
Similar(58)
Diffusion-weighted magnetic resonance imaging has the ability to map neuronal architecture by estimating the 3D diffusion displacement within fibrous brain structures.
This linear relationship reviewed by Hobbie et al. [39] allows estimating the diffusion coefficient of HAuCl4 in aqueous solution at 20 °C to be around 0.5 10−9 meaningeaning that in 1 s, a molecule HAuCl4 can spread over 500 µm2.
Furthermore, the transmembrane velocity never becomes large enough to significantly alter the mass transfer resistance through the membrane, as can be seen by estimating the relative importance of advection to diffusion given by the mass transfer Peclet number, which remains below 10 2 for the range of pressures and flow rates for which we tested the device.
Self-diffusion coefficients were calculated to complement the analyses by estimating the mobility of the groups.
We estimated the diffusion coefficient by direct observation of atoms moving in the specimens by using TEM with high-pass diffusion [23] at the beginning of structure relaxation and at crystallization at elevated temperatures.
If the exact value of the rate constant is unknown, it might still be possible to estimate the diffusion coefficient by regression algorithms such as SVR (Section "Support vector regression"), or GPR (Section "Gaussian processes").
A two-layer configuration system was used to estimate the diffusion coefficient by Mach Zehnder interferometry.
For one-photon excitation, the characteristic diffusion time can be used to estimate the diffusion coefficient by.
By fitting simultaneously all obtained autocorrelation functions with the model, it is possible to estimate the diffusion coefficient.
With regard to the DTI dataset, fractional anisotropy and mean diffusivity maps will be created using the Functional Magnetic Resonance Imaging of the Brain (FMRIB) diffusion toolbox in FMRIB Software Library FSLL) [ 53] by estimating diffusion tensors at each intracerebral voxel prior to using a b = 0 image for mapping into MNI standard space.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com