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Article

Representation learning enables robust single cell phenotyping in whole slide liquid biopsy imaging.

Scientific reports - 21 Oct 2025

Naghdloo Amin, Tessone Dean, Nagaraju Rajiv M, Zhang Brian, Kang Jeffrey, Li Shouyi, Oberai Assad, Hicks James B, Kuhn Peter

Abstract excerpt

Tumor-associated cells in liquid biopsy are promising biomarkers for cancer detection, diagnosis, prognosis, and monitoring. Yet, their rarity, heterogeneity, and plasticity pose challenges for accurate identification and characterization. Enrichment-free whole slide imaging of all circulating cells offers a comprehensive, unbiased approach to capture this phenotypic diversity. However, current analysis methods...

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Identifiers

PMID: 41120558
DOI: 10.1038/s41598-025-20514-8
PMCID: PMC12540859

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