{
  "abstract": "Single-particle cryogenic electron microscopy (cryo-EM) is an imaging technique capable of reconstructing high-resolution three-dimensional (3D) structure of biological macromolecules from a set of noisy projection images taken at random viewing directions. The mathematical model for cryo-EM images typically assumes that each image contains exactly one particle, which is centered at the origin. However, many experimental datasets contain particle images which include multiple particles: one central particle and a few crowding particles. This deviation from the model leads to inaccurate estimation of image statistics, such as the low-order image moments. To account for this, we propose a method to estimate image moments while correcting for the effect of crowding particles. This method can be run directly from a set of cryo-EM micrographs with picked particles, and we demonstrate its efficacy on a wide array of synthetic data.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.22840",
  "author_total": 3,
  "authors": [
    {
      "name": "Andy Zhang"
    },
    {
      "name": "Oscar Mickelin"
    },
    {
      "name": "Amit Singer"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/dps76f9nh6b9e.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.22840",
  "fulltext_url": null,
  "id": "dps76f9nh6b9e",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.22840",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "eess.IV"
    ],
    [
      "arxiv",
      "q-bio.QM"
    ],
    [
      "openalex",
      "1315|Advanced Electron Microscopy Techniques and Applications"
    ]
  ],
  "openalex": "W7222969375",
  "pdf_url": "https://arxiv.org/pdf/2610.22840",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-16",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/dps76f9nh6b9e.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:30:38Z",
      "native_id": "2610.22840",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.22840"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "arxiv:q-bio.QM",
      "subfield": "bioinformatics"
    }
  ],
  "title": "Image Moment Estimation for Crowded Datasets",
  "title_text": "Image Moment Estimation for Crowded Datasets",
  "type": "preprint",
  "updated_at": "2026-10-30T12:33:34Z",
  "url": "https://research.draconitic.com/paper/dps76f9nh6b9e",
  "venue": "arXiv",
  "versions": []
}