{
  "id": 829931,
  "title": "Extracting deep learning based morphology segmentation footprint for boar sperm cells",
  "url": "https://urgent.news/2026/08/13/extracting-deep-learning-based-morphology-segmentation-footprint-for",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-13T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.07.743571v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Reliable delineation of the head and tail of swine spermatozoa supports automated assessment of boar semen quality, from morphometric measurement to the quality control of insemination doses. In practice this relies on fluorescent staining, which adds chemistry, cost, and delay to every acquisition and labels only the nucleus. Recent work coupling imaging flow cytometry with machine learning has…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}