**Important note**: FCSpipelineEMBL_KNIME is an automated software. Only user input and visualization of data steps (see green frames) need the user's supervision.
-**main user input** (general parameters). The explanation of every parameter can be founded on the [input parameters](https://git.embl.de/grp-almf/FCSpipelineEMBL_KNIME/-/wikis/input-parameters) page or in a KMIME description menu of the main user input.
- FP&POI&WT images metanode (loading images and coordinates)
- Data processing + Quality Check:
- Python Script (2=>1) (calculating confocal volume and concentrations)
- intensity calculation metanode (extracting intensities in ROI-s, background subtraction)
- joiner metanode with Quality Check (data collection for calibration plot + Quality Check)
> It will implement a Quality Check by filtering the points for calibration plot according to the bounders of statistics parameters specified by the user in plot parameters input.
- concentration map metanode (building concentration maps from row images using calibration parameters)
- Visualization of data
- Python Source (POI&FP CPM distribution)
-**Python View** (calibration plot appears when you execute this node)
- Table View (concentrations of POI)
- Two Image Viewers (loaded images with info and concentration maps)
**Important note**: FCSpipelineEMBL_KNIME is an automated software. Only user input and visualization of data steps need the user's supervision.
1. Process a WT data with FA to obtain WT.res. A detailed explanation of FA analysis procedure including [correlations calculation](https://git.embl.de/grp-ellenberg/FCSAnalyze/-/wikis/Fa_Load_and_Correlate) and [fitting](https://git.embl.de/grp-ellenberg/FCSAnalyze/-/wikis/Fa_fit_fcs) you can find on git page of FCS-calibrated imaging pipeline developed by Antonio Politi. Perform import, correction, and export steps in FA. Then, fill a WT user input in the KNIME workflow of FCSpipelineEMBL_KNIME and execute Python Source node. Use returned offset value for correction steps in further FA sessions for FP and POI.