Cytosplore: Interactive Immune Cell Phenotyping for Large Single‐Cell Datasets. (4th July 2016)

• Record Type: Journal Article
• Authors: Höllt, T.; Pezzotti, N.; van Unen, V.; Koning, F.; Eisemann, E.; Lelieveldt, B.; Vilanova, A.
• Is Part Of: Computer graphics forum. Volume 35:Number 3(2016)
• Page Start: 171
• Page End: 180
• Publication Date: 2016-07-04
• Subjects: Categories and Subject Descriptors (according to ACM CCS) -- I.3.8 [Computer Graphics]: Applications—; Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.12893
• Languages: English
• ISSNs: 0167-7055

Abstract

Abstract: 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.