A Simplified Positional Cell Type Visualization using Spatially Aggregated Clusters

TL;DR

This paper presents a new visualization method that overlays cell type proportions on tissue images by clustering data and aggregating neighboring points into polygons, maintaining spatial context without clutter.

Contribution

The method introduces a simplified approach for visualizing cell type distributions that preserves spatial relationships and reduces visual clutter in tissue images.

Findings

Effective visualization of cell type proportions on tissue images.

Reduces visual clutter compared to traditional overlay methods.

Maintains spatial context of cell distributions.

Abstract

We introduce a novel method for overlaying cell type proportion data onto tissue images. This approach preserves spatial context while avoiding visual clutter or excessively obscuring the underlying slide. Our proposed technique involves clustering the data and aggregating neighboring points of the same cluster into polygons.