Article

Phase-Space Dynamics Reveal Structured and Chaotic Motility in Human Sperm via DTW Clustering

2025-05-16

Abstract excerpt

<h4>Background</h4> Traditional sperm motility metrics often fail to reflect the dynamic complexity of motion patterns. Here, we present an unsupervised framework combining dynamic time warping (DTW) clustering with phase-space and fatigue-sensitive descriptors to uncover latent motility phenotypes. <h4>Methods</h4> We analyzed 1,176 sperm tracks from the VISEM dataset using DTW distance matrices applied to velo...

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Literature Corpus work: dda072d1-a172-57d5-971c-6bfa9ba0fd43
DOI: 10.1101/2025.05.13.653743

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