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Article

Biophysical informatics reveals distinctive phenotypic signatures and functional diversity of single-cell lineages.

Bioinformatics (Oxford, England) - 1 Jan 2023

Chan Trevor J, Zhang Xingjian, Mak Michael

Abstract excerpt

MOTIVATION: In this work, we present an analytical method for quantifying both single-cell morphologies and cell network topologies of tumor cell populations and use it to predict 3D cell behavior. RESULTS: We utilized a supervised deep learning approach to perform instance segmentation on label-free live cell images across a wide range of cell densities. We measured cell shape properties and characterized...

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PMID: 36610710
DOI: 10.1093/bioinformatics/btac833
PMCID: PMC9825265

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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