DROPLETS: A Marker Design for visually enhancingLocal Cluster Association

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-13
DOI
https://doi.org/10.5281/zenodo.14049795
Primary Topic
Culture, Economy, and Development Studies
Type
article
Field-Weighted Citation Impact
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article

DROPLETS: A Marker Design for visually enhancingLocal Cluster Association

Zenodo (CERN European Organization for Nuclear Research)
Culture, Economy, and Development Studies
article

DROPLETS: A Marker Design for visually enhancingLocal Cluster Association

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Graz University of Technology (AT)
Reduced inequalities
Openalex Percentile: Top 31%
Culture, Economy, and Development Studies
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DROPLETS: A Marker Design for visually enhancingLocal Cluster Association · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS