{
  "id": 19854133,
  "title": "Unsupervised Deep Learning for Cryo-EM/ET Particle Classification",
  "url": "https://urgent.news/2026/11/13/unsupervised-deep-learning-for-cryo-em-et-particle-classification",
  "topic": "science",
  "section": "Science",
  "published": "2026-11-13T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.11.12.766036v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Cryogenic electron microscopy (cryo-EM) is widely used to determine protein structures from purified samples. With cryogenic electron tomography (cryo-ET), it is possible to image thin sections of cells and directly visualize diverse proteins in their native environment. However, separating the massive mixture of different types of proteins inside cells remains challenging, especially without…",
  "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."
}