Robust phenotyping of highly multiplexed tissue imaging data using pixel-level clustering

Abstract excerpt

While technologies for multiplexed imaging have provided an unprecedented understanding of tissue composition in health and disease, interpreting this data remains a significant computational challenge. To understand the spatial organization of tissue and how it relates to disease processes, imaging studies typically focus on cell-level phenotypes. However, images can capture biologically important objects that ar...

Topics

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• Cell Line
• Datasets as Topic
• Fluorescent Antibody Technique
• Image Processing, Computer-Assisted
• Machine Learning
• Palatine Tonsil
• Phenotype
• Single-Cell Analysis

Identifiers and source

Literature Corpus work

e770c737-e3d0-5084-bb59-8b6ee4be8a43

DOI

10.1101/2022.08.16.504171