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### Welcome to a Wiki page of FCSpipeline!
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Here we explain how to install and use Fluorescence Correlation Spectroscopy (FCS) pipeline. The FCSpipeline is an FCS-calibrated image analysis software for the interactive and automated processing of FCS data.
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Here we explain how to install and use Fluorescence Correlation Spectroscopy (FCS) pipeline. The FCSpipeline is an FCS-calibrated image analysis software for the interactive and automated processing of FCS data. Explanations of technical details of FCSpipeline you could find [here](technical details)
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#### 1. [Installation](installation)
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#### 2. [Structure of workflow](#structure-of-workflow)
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... | ... | @@ -57,6 +57,7 @@ In Python View node of calibration plot users have an opportunity to: |
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* Move and zoom a working space
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* Adjust spacing and the view of axes and curves
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* Save the image of the plot
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> Users can specify annotations for every point in the calibration plot by adding them to mFP.res (Annotation column). Don't forget to add this option in the plot parameter input.
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8. Quality Check <br>
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Delete points that haven't passed Quality Check (the points with "bad" fluctuations or poor quality of fitting)
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... | ... | @@ -64,7 +65,6 @@ Delete points that haven't passed Quality Check (the points with "bad" fluctuati |
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**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
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> This step could also help to get rid of outliers that can influence the liner parameters of the calibration line.
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![calibration2](uploads/9515b50eb8729b4665a7b53b2b8852b2/calibration2.png)
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#### Output files
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> All outputs are saved in the main directory.
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