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In brief, after background subtraction and application of an automatic threshold, the plugin automatically processes the data, detects the different motility patterns and calculates the gliding speed.
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We achieve this reduction through background subtraction and the application of a total variation filter (TV filter).
As a video processing application, adaptive background subtraction, and as an image processing application, Pearson's correlation algorithms have been implemented.
The images of the capillary tube placed under and 1 and 3 mm of chicken breast are shown in Fig. 16, after the cell-by-cell background subtraction and the median filter application.
Application of eq 1, background subtraction, and normalization (see below) gave the reactivity profile in Figure 1F.
The images were processed and quantified by the Multi Gauge application (Fujifilm Medical Systems), using profile lane quantification with automatic background subtraction and band detection.
Tracking will be based on background subtraction and motion detection.
Data were analysed in GenomeStudio (Illumina) with background subtraction and rank-invariant normalization.
Image processing, background subtraction, and the construction of an unbiased ratio image are discussed.
Each microarray chip was hybridized to a single sample labeled with Cy3. Background subtraction and normalization were performed.
Image processing and analysis, including flat fielding, adaptive background subtraction and spectral unmixing were performed with Living Image® 3.0 software.
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