ArticleScientific data2025
Expert-Annotated Optical Microscopy Images of Human Sperm for Detection and DNA Fragmentation Assessment.
Article in Scientific data, 2025. 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.
- Expert-Annotated Optical Microscopy Images of Human Sperm for Detection and DNA Fragmentation Assessment.Scientific data · 2025Article
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3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
We present a collection of expert-labeled image datasets designed to support automated analysis of human sperm in the context of male fertility diagnostics. The collection includes three datasets: a raw set of over 400 high-resolution, stained bright-field images containing multiple sperm cells; a binary classification set with cropped image patches labeled as either sperm or non-sperm; and a multiclass dataset of individual sperm cells categorized by DNA fragmentation level, based on halo size (large, medium, small, or no halo). All annotations were independently performed by five experienced embryologists, with final labels determined by majority agreement. Together, these datasets provide a foundation for training and benchmarking machine learning models for sperm detection, classification, and chromatin integrity assessment. The data are openly available to facilitate reproducibility and support further research in reproductive health.
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Registered trials
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