Published October 13, 2024 | Version v1
Data paper Open

DROPLETS: A Marker Design for visually enhancingLocal Cluster Association

  • 1. Institute of Computer Graphics and Knowledge Visualization, Graz University of Technology

Description

The objective of the Redesign Challenge of the Bio+MedVis Challenge @ IEEE VIS 2024 is to redesign an existing visualization of multi-cell gene expressions of tissue samples. In this, multiple cells are accumulated into pixels. For each pixel the visualization should convey the prevalence and extent of cell types it is composed of, i.e., a proportional relation. The provided baseline technique of superimposed Pie charts -- a common technique for this kind of relation -- is not an ideal choice as the cell-type quantities of neighboring pixels are hard to compare due to a spatial disarray inherent to pie charts. This limits the perception of regions with coherent cell-type compositions, which constitutes one of the essential visual analytics tasks. We propose a novel marker design: \emph{Droplets} -- a space-saving design for visually enhancing the presence of clusters and regional borders. We evaluate this concept for the given tissue sample and compare it to the given baseline and other alternatives.

Files

DROPLETS. A Marker Design for visually enhancingLocal Cluster Association.pdf

Additional details

Funding

HEREDITARY – HetERogeneous sEmantic Data integratIon for the guT-bRain interplaY 101137074
European Commission