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@@ -62,14 +62,15 @@ In Python View node of calibration plot users have an opportunity to:
 8.  Quality Check <br>
 Delete points that haven't passed Quality Check (the points with "bad" fluctuations or poor quality of fitting)
 *  List the points to delete in plot parameters input. <br>
-**Important note**: The Standart Quality check does **not guarantee** to remove all "bad" fluctuations. Thus we recommend going through calibration points and remove all "bad" fluctuations manually. To delete the points in the calibration plot, fill the numbers from the annotations of corresponding points into plot parameter input (points to delete). Reexecute the Python View node with calibration plot
-> This step could also help to get rid of outliers that can influence the liner parameters of the calibration line.
+**Important note**: The Standart Quality check does **not guarantee** to remove all "bad" fluctuations. Thus, we recommend going through calibration points and remove all "bad" fluctuations manually. To delete the points in the calibration plot, fill the numbers from the annotations of corresponding points into plot parameter input (points to delete). 
+*  Reexecute the Python View node with a calibration plot
+> Quality Check step could also help to get rid of outliers that can influence the liner parameters of the calibration line.
 
 ![calibration2](uploads/9515b50eb8729b4665a7b53b2b8852b2/calibration2.png)
 #### Output files
 > All outputs are saved in the main directory.
 1.  **info.csv**
-info.csv is generated inside the main user input. This is the main output with all final and intermediate parameters. It includes:    
+info.csv is generated inside the main user input. This is the main output file with all final and intermediate parameters. It includes:    
 *  diffusion coefficient of dye and confocal volume
 *  the names of directories and files that are used in FCSpipeline
 *  path to the main directory