FlowSOM, Visualizing millions of cells

FlowSOM offers a new way to look at your cytometry data. Instead of visualizing all the cells in 2D-scatter plots, the cells are first clustered. By grouping very similar cells together, it is easier to create a full overview, in which each group of cells is visualized as a 'node'. These nodes are organized into a tree, in which similar nodes are connected, creating 'branches' corresponding to the different cell types. Pie charts indicate the MFI's for different markers and node size corresponds to the number of cells in each population.

FloReMi, automated analysis for cytometry data

FloReMi (Flow density Regression using Minimal feature redundancy) is a tool for predicting survival times based on cytometry data, developed in the context of the FlowCAP IV challenge. FloReMi consists of 4 different steps, which might be relevant even if you are not working with survival data. First, we applied a quality control step, consisting of e.g. checking FSC vs time and performing automated doublet removal. This tool can be interesting if you want to ensure you only work with high quality measurements.

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