ArticleScientific data2026
3D+t human sperm flagellum centerline dataset.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- 3D+t human sperm flagellum centerline dataset.Scientific data · 2026Article
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7 authors.
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Abstract
The study of human sperm motility has been a topic of interest for decades due to its crucial role in fertility and reproductive health. While most analyses rely on 2D+t imaging of head trajectories, sperm naturally swim in three dimensions (3D), driven by complex flagellar motion. However, the lack of comprehensive 3D+t datasets has limited progress in this field. To address this, we present 3D-SpermFlagella, the first large-scale 3D+t dataset of human sperm flagellum centerline annotations. This dataset contains 135 tracked and annotated sperm, derived from our previously published multifocal video microscopy dataset 3D-SpermVid. Each flagellar centerline was annotated over time in three dimensions, incubated under non-capacitating (NCC) and capacitating (CC) conditions. The (x,y,z) coordinates are provided in both micrometers and voxels, making 3D-SpermFlagella a valuable resource for studying sperm motility in its full spatial complexity and for the development and benchmarking of AI-based models for tracking and segmentation. In this paper, we describe the segmentation and tracking methods, as well as the conditions and structure of the dataset.
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