A Simplified Positional Cell Type Visualization using Spatially Aggregated Clusters

Fuente: arXiv
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Autori principali: Mason, Lee, Almeida, Jonas
Natura: Preprint
Pubblicazione: 2024
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author Mason, Lee
Almeida, Jonas
author_facet Mason, Lee
Almeida, Jonas
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2410_07125
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Simplified Positional Cell Type Visualization using Spatially Aggregated Clusters
Mason, Lee
Almeida, Jonas
Computer Vision and Pattern Recognition
Graphics
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.
title A Simplified Positional Cell Type Visualization using Spatially Aggregated Clusters
topic Computer Vision and Pattern Recognition
Graphics
url https://arxiv.org/abs/2410.07125