Flowing Software

What is Flowing Software?

Flowing Software is a flow cytometry data analysis software for Windows environment.

Flowing Software has all regular analysis tools, such as dot plots, histograms, quadrants, statistics, overlay histograms etc. If you are familiar with some other flow cytometry data analysis softwares, such as CellQuest or WinMDI, I'm quite sure that you can as well use Flowing Software!

However, Flowing Software can do much more! Its real strength is in high throughput data analysis; take control of your data run from 96 or 384 well plates.

Despite the high number of advanced features, Flowing Software is very easy to use! Much attention has been paid to the usability engineering. You can set up your analysis graphically by creating boxes and combining them with the connectors. No coding, no complicated interfaces!

Why new software package?

"...I need statistics, dot plot images as 96-well layout and overlay histograms. Oh, and the number of samples will be about 20000, so analysis should be performed automatically..."

This request came from one of our department's researchers. They were starting a big screening project, and naturally they wanted all possible data out from the samples. However, the problem was that our existing software packages didn't provide sufficient tools for automating the analysis (or even the support for overlay histograms...)

That's why I started to think, what kind of software package could solve the challenges of the automation of the analysis, still remaining so easy to use, that even the medical doctor could use it! ;-)

Who is behind Flowing Software?

Flowing Software is a research project of Cell Imaging Core, Turku Centre for Biotechnology. Centre for Biotechnology is a joint department of University of Turku and Åbo Akademi University. Cell Imaging Core is part of Turku Bioimaging.

The creator of the software is Perttu Terho.

The goal of this project is to provide the user-friendly and effective tool for basic and high throughput data analysis. It also acts as development platform for new innovative ways to analyze the flow cytometry data.