{
  "id": 294639,
  "title": "MC-Bayes: A Python-based wrapper for MotionCor3 processing of EER files compatible with Bayesian polishing",
  "url": "https://urgent.news/2026/08/07/mc-bayes-a-python-based-wrapper-for-motioncor3-processing-of-eer",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-07T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.06.743412v1?rss=1"
  },
  "original_language": "en",
  "account": "MC-Bayes is a Python-based script designed to streamline the processing of cryo-electron microscopy EER movies on one or multiple GPUs using MotionCor3. This innovative tool generates the essential .star files required for RELION to perform Bayesian polishing, also known as reference-based motion correction, on EER movies. Prior to the development of MC-Bayes, the only option for Bayesian polishing of EER data entailed using the CPU-based \"RELIONCor\" implementation of MotionCor2, which proved to be suboptimal on GPU-heavy cryo-EM processing systems.\n\nThe primary motivation behind the creation of MC-Bayes was to address the needs of facilities and users who possess a significant number of powerful GPUs but have limited CPU cores or insufficient system RAM. By harnessing the capabilities of MotionCor3, MC-Bayes enables motion correction of EER data at a rate of two or more times faster than the RELION CPU implementation, under most circumstances. This improvement becomes even more pronounced when dealing with systems equipped with dozens or hundreds of CPU cores and substantial quantities of system RAM, making the GPU-based approach the preferred choice for efficient processing in cryo-EM laboratories.",
  "summary": "Here, we present MC-Bayes, a Python-based script for processing cryo-electron microscopy EER movies on one or more GPUs using MotionCor3 in a user-friendly manner. Further, it generates the .star files necessary for RELION to perform Bayesian polishing (a.k.a.: reference-based motion correction) with EER movies. Until now, Bayesian polishing of EER data was only possible if the CPU-based…",
  "key_points": [
    "MC-Bayes streamlines cryo-EM EER movie processing on GPUs using MotionCor3",
    "Generates .star files for RELION Bayesian polishing of EER movies",
    "Two to three times faster than RELION CPU implementation on GPU systems"
  ],
  "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."
}