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Slides were scanned with the Agilent DNA Microarray Scanner (G2505B) and default parameters of Feature Extraction Software 9.1 (Agilent) were used for image analysis, data extraction, background correction, and flagging of non-uniform features.
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Figure 3 Sobel edge extraction from background images.
d User-defined vanishing line extraction on background modeling.
The microarrays were scanned, and feature extraction and background intensity corrections were performed with Agilent software (v.10.7.3.1).
When total tissue lysates were used as samples for immunoblotting, or as sources for total RNA extraction, the background from surrounding cells and tissues may mask the changes of VEGF, or its receptors.
For signal extraction, the background of each spot is computed from a localized mean around the mode of pixel intensities outside the ellipse, and then subtracted from intensities of each pixel inside the ellipse (Fig. 1e).
The motif identification includes the following steps: extraction of sequences, background selection, GC-content normalization (for background sequences), and finally motif discovery (including novel motifs and known motifs).
The two images were analyzed together and data were extracted and background subtracted using Agilent Feature Extraction (FE Softwaree version 9.5.1.
In this case, global thresholding cannot extract all the targets without any false extraction from the background region.
Data were extracted and background subtracted using the standard procedure in Agilent Feature Extraction (FE) software v. 9.5.1.
(6) Background extraction.
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