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Continuous Motility Fingerprints from Gaussian Mixture Models Reveal Hidden Sperm Heterogeneity

2025-11-21

Abstract excerpt

Computer-assisted sperm analysis (CASA) collapses sperm motility into coarse categorical bins, masking the heterogeneity that influences fertilization potential. Analyzing 33,500 trajectories from 340 individuals, we introduce a probabilistic fingerprinting framework that treats Gaussian mixture model (GMM) posteriors as soft supervision to construct continuous motility axes that capture forward progression, errat...

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Literature Corpus work
2e42931d-38df-5db6-af03-6b2efb7d18c9
DOI
10.1101/2025.11.20.689493
Open publication

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Continuous Motility Fingerprints from Gaussian Mixture Models Reveal Hidden Sperm HeterogeneityDOI 10.1101/2025.11.20.689493
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