{
  "abstract": "Understanding the 3D fiber architecture of the brain at the microscopic scale is essential for revealing its structural connectivity and function. Polarization-based optical imaging (3D-PLI) techniques enable high-fidelity reconstruction of single nerve fiber orientations but struggle to resolve fiber crossings, which are critical for recovering the full connectome. Scattering-based imaging provides access to the structure factor of three-dimensionally oriented fibers. By probing a fixed scattering angle under multiple azimuthal illumination angles, in-plane fiber orientations and crossings can be recovered using computational scattered light imaging (SLI). However, despite containing 3D information, a theoretical framework to extract full 3D orientations has been lacking. In this talk, a simple analogical approximation of Rayleigh-Gans scattering theory is introduced to extract the 3D orientation of nerve fibers from one-dimensional SLI measurements. The theory is validated using tilted microscopic glass phantoms consisting of 2 um-thick rod lattices fabricated by two-photon lithography. Finally, the method is applied to brain tissue samples and compared with 3D-PLI.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.03764",
  "author_total": 9,
  "authors": [
    {
      "name": "Dennis Scheidt"
    },
    {
      "name": "Charlotte Voß"
    },
    {
      "name": "Cristian Rosero Arias"
    },
    {
      "name": "Santiago Saavedra Castano"
    },
    {
      "name": "Felix Matuschke"
    },
    {
      "name": "Roxana Koojimans"
    },
    {
      "name": "Katrin Amunts"
    },
    {
      "name": "Arturo Susarrey-Arce"
    },
    {
      "name": "Markus Axer"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/6rg3nj52zzadb.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.03764",
  "fulltext_url": null,
  "id": "6rg3nj52zzadb",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.03764",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "physics.med-ph"
    ],
    [
      "arxiv",
      "physics.optics"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2609.03764",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-03",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/6rg3nj52zzadb.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:18:31Z",
      "native_id": "2609.03764",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.03764"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:physics.med-ph",
      "subfield": "biological-medical"
    },
    {
      "field": "physics",
      "origin": "arxiv:physics.optics",
      "subfield": "optics-photonics"
    }
  ],
  "title": "3D scattered light imaging: extracting 3D fiber orientations from 1D line profiles in brain imaging",
  "title_text": "3D scattered light imaging: extracting 3D fiber orientations from 1D line profiles in brain imaging",
  "type": "preprint",
  "updated_at": "2026-10-30T12:18:31Z",
  "url": "https://research.draconitic.com/paper/6rg3nj52zzadb",
  "venue": "arXiv",
  "versions": []
}