To account for labeling-amount, dye, fluorescent-detection, spotting, RNA-concentration, and sample-quantity differences, systems modify intensities {normalization, results}. Normalization allows comparison among slides and cell extracts.
types
Normalization can normalize on total intensity. Normalization can normalize on means and use ratio statistics. Normalization can use linear regression. Non-linear regression includes local regression, such as Locally Weighted Scatterplot Smoothing (LOWESS). Normalization algorithms use dilution-series controls, dye selection, filter selection, dye-quenching non-linearities, multiple gain settings, photobleaching amounts, and array-to-array normalization.
Mathematical Sciences>Computer Science>Systems>Computer Vision>Algorithms>Imaging
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Date Modified: 2022.0224