English

A Simplified Positional Cell Type Visualization using Spatially Aggregated Clusters

Computer Vision and Pattern Recognition 2024-10-10 v1 Graphics

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.

Keywords

Cite

@article{arxiv.2410.07125,
  title  = {A Simplified Positional Cell Type Visualization using Spatially Aggregated Clusters},
  author = {Lee Mason and Jonas Almeida},
  journal= {arXiv preprint arXiv:2410.07125},
  year   = {2024}
}

Comments

For the Bio+MedVis 2024 redesign challenge

R2 v1 2026-06-28T19:14:50.167Z