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Article

C-MORE: A high-content single-cell morphology recognition methodology for liquid biopsies toward personalized cardiovascular medicine.

Cell reports. Medicine - 16 Nov 2021

Furkel Jennifer, Knoll Maximilian, Din Shabana, Bogert Nicolai V, Seeger Timon, Frey Norbert, Abdollahi Amir, Katus Hugo A, Konstandin Mathias H

Abstract excerpt

Cellular morphology has the capacity to serve as a surrogate for cellular state and functionality. However, primary cardiomyocytes, the standard model in cardiovascular research, are highly heterogeneous cells and therefore impose methodological challenges to analysis. Hence, we aimed to devise a robust methodology to deconvolute cardiomyocyte morphology on a single-cell level: C-MORE (cellular morphology...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 34841289
DOI: 10.1016/j.xcrm.2021.100436
PMCID: PMC8606902

Provenance

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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