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The response of the injected cholesterol samples was calculated by background subtraction and integration of the biosensor signal in the recorded voltammograms in form of coulomb.
After background subtraction and integration the normalized mean changes in fluorescence intensity (−Δ F/ F0) were plotted against the ligand concentration.
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Each spectrum was processed by normalizing the total collected counts by the integration time (yielding counts/sec), background subtraction and smoothing by averaging ten neighboring spectral data points into bins 0.49 nm wavelength width.
Data sets were highly consistent both after background subtraction and after quantile normalisation of the background subtracted data.
Image processing, background subtraction, and the construction of an unbiased ratio image are discussed.
The second column shows background subtraction: d the image used as the background model, e the frame of interest prior to background subtraction, and f the foreground image.
The signal values were derived by background subtraction and normalization.
Background subtraction and Gaussian filtering was performed before signal identification.
All spot intensity values were subjected to local background subtraction, secondary antibody alone background subtraction, and normalization relative to total protein intensities.
CT values were determined using the same background subtraction and threshold values for all reactions.
Intensity levels were normalized by background subtraction and presented relative to nontransgenic CA1 staining.
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