{
  "id": 15886793,
  "title": "afMLevel: Deep learning U-Net Models for Levelling Atomic Force Microscopy Images and Movies",
  "url": "https://urgent.news/2026/10/21/afmlevel-deep-learning-u-net-models-for-levelling-atomic-force",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-21T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.19.760138v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "AFM experiments can now produce hundreds of frames per session and this rises to thousands in the case of video-rate high-speed AFM, but every image must still be levelled to remove tilt, bowing and line noise before it can be measured. Current automatic routines rely on user-chosen masks and parameters that work for some sample types but fail on others, so levelling often remains a manual,…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "Medical Xpress",
        "title": "Deep learning using fundus photograph predicts myopia progression",
        "url": "https://urgent.news/2026/10/21/deep-learning-using-fundus-photograph-predicts-myopia-progression",
        "published": "2026-10-21T14:00:29.000Z"
      }
    ]
  },
  "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."
}