Article

Deep Learning-enabled Sperm Morphology Analysis of Bovine Sperm for label-free Imaging Flow Cytometry

2025-06-17

Abstract excerpt

Data analysis of sperm morphology is critical for evaluating bull fertility, yet it is often performed using light microscopy and staining techniques in a highly subjective and manual manner. In this study, we introduce a scalable, high-resolution approach combining label-free Imaging Flow Cytometry (IFC) with deep learning for automated classification of bovine sperm morphology. We analyzed 436,374 single-cell im...

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Literature Corpus work: 94f06829-ef4d-5b36-b38e-dd0f52ab62db
DOI: 10.1101/2025.06.12.659335

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