Cytosplore: Interactive Immune Cell Phenotyping for Large Single-Cell Datasets

To understand how the immune system works, one needs to have a clear picture of its cellular compositon and the cells’ corresponding properties and functionality. Mass cytometry is a novel technique to determine the properties of single-cells with unprecedented detail. This amount of detail allows for much finer differentiation but also comes at the cost of more complex analysis. In this work, we present Cytosplore, implementing an interactive workflow to analyze mass cytometry data in an integrated system, providing multiple linked views, showing different levels of detail and enabling the rapid definition of known and unknown cell types. Cytosplore handles millions of cells, each represented as a high-dimensional data point, facilitates hypothesis generation and confirmation, and provides a significant speed up of the current workflow. We show the effectiveness of Cytosplore in a case study evaluation.

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Citation

Thomas Höllt, Nicola Pezzotti, Vincent van Unen, Frits Koning, Elmar Eisemann, Boudewijn Lelieveldt, and Anna Vilanova. Cytosplore: Interactive Immune Cell Phenotyping for Large Single-Cell Datasets. Computer Graphics Forum (Proceedings of EuroVis 2016), 35(3): pp. 171–180, 2016.

BibTeX

@article{ bib:2016_eurovis_cytosplore,
    author = {Thomas H{\"o}llt and Nicola Pezzotti and Vincent van Unen and Frits Koning and Elmar Eisemann and Boudewijn Lelieveldt and Anna Vilanova},
    title = { Cytosplore: Interactive Immune Cell Phenotyping for Large Single-Cell Datasets },
    journal = { Computer Graphics Forum (Proceedings of EuroVis 2016) },
    volume = { 35 },
    number = { 3 },
    pages = { 171 -- 180 },
    year = { 2016 },
    doi = { 10.1111/cgf.12893 },
}