Cell Simulation as Cell Segmentation

Abstract excerpt

Single-cell spatial transcriptomics promises a highly detailed view of a cell’s transcriptional state and microenvironment, yet inaccurate cell segmentation can render this data murky by misattributing large numbers of transcripts to nearby cells or conjuring nonexistent cells. We adopt methods from ab initio cell simulation to rapidly infer morphologically plausible cell boundaries that preserve cell type heterog...

Topics

Open a Topic to create a Post that cites this publication.

• Cell Line
• Image Processing, Computer-Assisted
• Machine Learning
• Palatine Tonsil
• Phenotype
• Single-Cell Analysis

Identifiers and source

Literature Corpus work

f57a8f15-2e95-5875-b176-1c1b1ac3616d

DOI

10.1101/2024.04.25.591218