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Data visualization software tools | Flow cytometry

The number of markers measured in both flow and mass cytometry keeps increasing steadily. Although this provides a wealth of information, it becomes infeasible to analyze these datasets manually. When using 2D scatter plots, the number of possible…
viSNE
Desktop

viSNE

A tool that allows one to map high-dimensional cytometry data onto two…

A tool that allows one to map high-dimensional cytometry data onto two dimensions, yet conserve the high-dimensional structure of the data.

SPADE
Desktop

SPADE Spanning tree Progression of Density normalized Events

Facilitates the analysis of cellular heterogeneity, the identification of cell…

Facilitates the analysis of cellular heterogeneity, the identification of cell types, and comparison of functional markers in response to perturbations, based on a versatile method. SPADE helps to…

SANJAY
Algorithm

SANJAY

Synthesizes low-dimensional visualizations of flow cytometry data. SANJAY is an…

Synthesizes low-dimensional visualizations of flow cytometry data. SANJAY is an algorithmic approach for automatically synthesizing 2D and 3D visualizations of high-dimensional flow cytometry data.…

FACSanadu
Desktop

FACSanadu

Allows users to visualize and quantify flow cytometry data. FACSanadu is able…

Allows users to visualize and quantify flow cytometry data. FACSanadu is able to construct scatter plots and histograms of the data. It is distributed through a graphical interface and allows users…

FlowSOM
Desktop

FlowSOM

Analyzes flow or mass cytometry data using a self-organizing map. Using a…

Analyzes flow or mass cytometry data using a self-organizing map. Using a two-level clustering and star charts, FlowSOM helps to obtain a clear overview of how all markers are behaving on all cells,…

flowCHIC
Desktop

flowCHIC

Allows users to detect flow cytometric data that use histogram information.…

Allows users to detect flow cytometric data that use histogram information. flowCHIC works about information coming from complex microbial communities.

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