1. This step can be omitted. Process a WT data with FA to obtain WT.res. Only loading and saving data steps are needed. Fill a WT user input and execute Python Source node. Use returned offset value for correction steps in further FA sessions for FP and POI.
1. This step can be omitted. Process a WT data with FA to obtain WT.res. Only loading and saving data steps are needed. Fill a WT user input and execute Python Source node. Use returned offset value for correction steps in further FA sessions for FP and POI.
2. Perform three separate sessions of FA analysis: for FP, for POI, and for dye. Do all intermediate FA steps (correlations calculation, correction, fitting of correlations with ACF) to obtain mFP.res, POI.res, and dye.res. A detailed explanation of FA analysis procedure can be found [here](https://git.embl.de/grp-ellenberg/FCSAnalyze/-/wikis/home).
2. Perform three separate sessions of FA analysis: for FP, for POI, and for dye. Do all intermediate FA steps (correlations calculation, correction, fitting of correlations with ACF) to obtain mFP.res, POI.res, and dye.res. A detailed explanation of FA analysis procedure can be found [here](https://git.embl.de/grp-ellenberg/FCSAnalyze/-/wikis/home).
