Sentence examples for by a detection step from inspiring English sources

CCL21 binding was determined by incubating 5 µg/ml anti-CCL21 (R&D) in TSM with 1% BSA for 2 hours at RT, followed by a detection step containing 10 µg/ml peroxidated goat-anti-mouse antibody.

For immunofluorescence, macrophages were stained using biotinylated anti-mouse CD11b followed by a detection step with streptavidin-Alexa Fluor 594 (Invitrogen, USA).

This is followed by a detection step (e.g., dielectrophoresis or acoustophoresis) to separating target rare cells out from other nucleated cells and residual RBCs.

For this, the reference serum was incubated on a multiplex Ab-array (using methods described below), followed by a detection step using various combinations of detection antibodies, to ensure the signal for each analyte was not affected in the multiplex Ab-array.

In a cross-VM scenario, by adding a detection step for running encryptions, a full AES key could be recovered by observing only 30,000 encryptions for the fully asynchronous attack and 10,000 for the semi-asynchronous attack [41].

After incubation in a protein deacetylase buffer, the reactions were terminated by adding wash buffers, followed by a signal detection step with a pan α-AcK antibody coupled with a Cy3-labeled secondary antibody as detection reagent to visualize the loss of signals (e.g., black holes in (b,c ).

The reactions were terminated by adding wash buffers, followed by a signal detection step with a pan α-acetyllysine (α-AcK) antibody coupled with Cy3-labeled secondary antibodies as detection reagents.

MouseDivGeno uses a novel combination of Gaussian mixture modeling and hierarchical clustering followed by a VINO detection step (details in METHODS).

Thus, the time-frequency activation mask of each source signal s k has to be known before the estimation of sinusoidal parameter step (which is often preceded by a peak detection step in the magnitude spectrum).

After the pre-processing step described previously, an edge detection step is performed by means of a multi-layer perceptron (MLP) [22] trained with synthetic samples of edges and non-edges, using the supervised learning backpropagation algorithm, with randomly initialized weights and 10 trials for each trained network.

Recent methods developed for team sports suggest including context information like Game Context Features [24] and contextual trajectory information [25], improving tracking by modelling latent behaviour from team-level context dynamics [26] or by improving the detection step [27, 28].