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Article

Phenotypic analysis of human and murine endometrial organoids using a machine learning approach.

Reproduction (Cambridge, England) - 3 Sept 2026

Unser Anna Catherine, Herrera Genesis J, Parks Sydney E, Nakakita Baku, Tang Suni, Radilla Linda Alpuing, Thigpen Brooke, Guan Xiaoming, Monsivais Diana

Abstract excerpt

In brief: Endometrial organoids are a powerful 3D in-vitro system to study reproductive function and disease; however, available models for quantitative analysis of organoids are still developing and have not been assessed for endometrial organoids. This paper uses models to reliably segment individual organoids and phenotypically analyze human and murine endometrial organoids. Abstract: Endometrial organoids are...

Read the complete abstract on PubMed

Topics

Female
Organoids
Animals
Endometrium
Humans
Mice
Phenotype

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Machine Learning

Deep Learning

Source

Identifiers

PMID: 42616664
DOI: 10.1093/reprod/xaag100

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