Description Usage Arguments Details
View source: R/quantDeltaF_Fo.R
It normalizes the intensity data during stimulus window by calculating an average Fo before stimulus, and then dviding the fluorescence values in this window by the background Fo.
1 | quantDeltaF_Fo(data, conditions, averageWindow)
|
averageWindow |
= the window to use prior to stimulus for calculating Fo ======= >>>>>>> master i = odd index of conditions (corresponds of start of new condition) j = index of response |
Data |
= Dataframe containing fluorescence intensity data |
Conditions |
= vectory of integers indicating when |
Normalizing first by an averaged background (Fo) right before stimulus corrects for photobleaching/drift.
Inputs: <<<<<<< HEAD
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