Thumbnails:
List:
Year:
Category:
Session:
Poster:
Getting poster data...
Heba Sailem (Institute of Biomedical Engineering, University of Oxford)
Glyph-based visualisation can provide a powerful tool for representing complex concepts and multidimensional data. However, creating new glyph-based representations generally requires extensive coding expertise or manual design of graphics. Here we develop PhenoPlot2, a first of its kind method accompanied by a user-friendly web-based app for creating glyph-based visualisations. This is an extensive extension of our previous PhenoPlot. PhenoPlot2 facilitates the interpretation of multivariate biomedical data by enabling designing abstract representations that resemble the measured structures. The user can combine different object shapes where each shape encodes up to 10 variables. We show that PhenoPlot2 facilitates understanding and interpreting complex imaging data by generating a pictorial representation of single-cell multiplexed imaging data. For example, by mapping mTOR signalling events to the cell periphery and cell proliferation to the nucleus, we can associate clustering results with the measured biological entities. We believe that PhenoPlot2 provides a wide range of users with a rich vocabulary to create engaging and intuitive representations of diverse data types.