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Following background subtraction and volume normalization of all gels, average gels were created for each group to assist comparison and reduce within group variations.
After automatic spot detection, background subtraction, and volume normalization, 859 ± 68 protein spots in OSCC tissue, and 844 ± 56 protein spots in control tissues were detected.
After spot detection, background subtraction and volume normalization, 600 ± 50 protein spots were detected in adipose cells using two-dimensional electrophoresis methods.
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Each spot intensity volume was processed using background subtraction and total spot volume normalization, which produced the spot volume percentage (% vol).
Each spot intensity volume was processed by background subtraction and total spot volume normalization.
This system encompasses a novel fluorescence 2D gel technique enabling multiplexing within the same gel, together with dedicated software for automated spot detection, background subtraction and quantitative spot volume calculations normalised to the internal reference sample.
Each gel was analyzed for spot detection, background subtraction and protein spot OD intensity quantification.
For isosurface creation and measure, images were processed by background subtraction and gaussian smoothing filter, then normalized according to the sampled volume.
Plaque volumes were extracted by 3D-surface-rendering with background subtraction and a threshold of 500.
Intensity levels were normalized by background subtraction and presented relative to nontransgenic CA1 staining.
Array hybridization intensity signals were adjusted using a global background subtraction and rank-invariant normalization algorithm.
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