Uses of FlowPy

FlowPy has been created to give you the freedom to analyze your flow cytometry data in your own way.

What can you do with FlowPy?

1. Extract the whole data set as a text file with parameter values for each cells. You can open this file in Wordpad or in any spreadsheet software like MS Excell for further analysis. Once you have the raw data in hand, you can create graphs of your choice or perform any statistical analysis or mathematical modeling with that data.

2. Extraction of partial data:

a) Dot plot: Choose two parameters and draw a Dot Plot. Then choose a specific region of that plot using selection tools and extract all parameter data of cells present in that region only.

b) Histogram: Choose one parameter and draw a histogram. Select a region in that histogram with the line gating tool. Now you can extract all parameter data of cells present in that region only.

3. Clustering: You can choose more than two parameters and then cluster the whole data set in specified number of clusters. Subsequently, you can extract all parameter data for cells present in specific cluster(s), of your choice. Currently FlowPy uses k-means algorithm for clustering with four different initiation options. You can choose and use any of these four.

4. Histogram Subtraction: Use histogram subtraction to identify sub-populations within a population.

5. Visualization: Plot histogram, dot-plot and cumulative distribution plot. Save plots as images. Save data of each plot in tab-delimited file.

6. You can open the extracted data in FlowPy and do further analysis.

7. You will get basic statistics of your data.

A few of such examples are given here: [PowerPoint] [PDF]

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