Sentence examples for bead density from inspiring English sources

The morphology of the electrospun mats was observed using Scanning Electron Microscopy (SEM), and its features were described by measuring the average fiber diameter, the average bead density and the percentage of mat surface covered by beads.

A coarse-grained model previously proposed to perform Monte Carlo simulations for several dendrimer molecules with different topologies and chemical compositions in solution is employed now to obtain structural properties, such as the bead density profile, the asphericity and the molecular scattering factor, or form factor.

High bead density hindered the localization of the intensity enhanced plane.

On the other hand, a low bead density led to a poor representation of the illuminated plane.

Three control image stacks of micro-beads were then acquired using the same procedure, but in nearby spheroid-free areas at least 500 µm away from any spheroid (so that the bead density was not affected by growth-induced compression).

After the cells were maintained at 4°C for 15 minutes, 100 µl of either the Alexa488/InlA-beads or FITC/InlA-beads suspension, which was at bead density of ∼1×109 beads/ml, was deposited into the petri dish (this volume was selected because this amount of beads was sufficient to cover the entire area of the bottom of the petri dish) and the dishes were centrifuged at 3600 rpm for 3 minutes.

They are also used to regulate bead densities.

Aqueous solutions of 15 μm polystyrene beads in phosphate buffered saline (PBS) with bead densities of 9000 and 18000 beads per 28 mm area were evenly mixed and dispersed onto the sensor array.

Mono-component beds contained 1.85 mm glass beads (density 2500 kg/m3) or 0.550 mm ceramic spheres (density 3800 kg/m3800

The change in micro-bead density was then converted to strain in the gel, from which we estimated the spatial distribution of compressive stress around the spheroids.

To determine the local micro-bead density as a function of distance from the spheroid, a Matlab (Mathworks, Natick, MA) routine calculated the minimum distance from each micro-bead to the spheroid surface and, subsequently, the relative density of micro-beads in 10-µm thick "shells" around the spheroid (ρbeads, normalized to the micro-bead density in the control image stacks).