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Automated and unbiased discrimination of ALS from control tissue at single cell resolution.

Brain pathology (Zurich, Switzerland) - 1 Jul 2021

Hagemann Cathleen, Tyzack Giulia E, Taha Doaa M, Devine Helen, Greensmith Linda, Newcombe Jia, Patani Rickie, Serio Andrea, Luisier Raphaëlle

Abstract excerpt

Histopathological analysis of tissue sections is invaluable in neurodegeneration research. However, cell-to-cell variation in both the presence and severity of a given phenotype is a key limitation of this approach, reducing the signal to noise ratio and leaving unresolved the potential of single-cell scoring for a given disease attribute. Here, we tested different machine learning methods to analyse high-content...

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Identifiers

PMID: 33576079
DOI: 10.1111/bpa.12937
PMCID: PMC8412073

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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