{
  "id": 8280811,
  "title": "MorphCell learns reconstructable shape representations with explicit scale control for 3D cell morphology",
  "url": "https://urgent.news/2026/09/18/morphcell-learns-reconstructable-shape-representations-with-explicit",
  "topic": "science",
  "section": "Science",
  "published": "2026-09-18T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.09.17.752374v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Three-dimensional (3D) cell morphology provides a measurable phenotype of cellular state and function, but representing it across biological systems and imaging modalities remains difficult. Existing approaches do not jointly provide transferable representations, complete surface reconstruction, geometric interpretation and explicit control of physical scale. Here we introduce MorphCell, a…",
  "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."
}