{
  "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
  "type": "SoftwareSourceCode",
  "applicationCategory": "3D Microscopy",
  "author": [
    {
      "id": "https://orcid.org/0000-0002-0546-3157",
      "type": "Person",
      "affiliation": {
        "type": "Organization",
        "name": "European Laboratory for Non-Linear Spectroscopy (LENS), Sesto Fiorentino, Italy; Department of Information Engineering, University of Florence, Florence, Italy"
      },
      "email": "sorelli@lens.unifi.it",
      "familyName": "Sorelli",
      "givenName": "Michele"
    }
  ],
  "codeRepository": "git+https://github.com/lens-biophotonics/Foa3D.git",
  "contributor": [
    {
      "id": "https://orcid.org/0000-0002-0546-3157",
      "type": "Person",
      "affiliation": {
        "type": "Organization",
        "name": "European Laboratory for Non-Linear Spectroscopy (LENS), Sesto Fiorentino, Italy; Department of Information Engineering, University of Florence, Florence, Italy"
      },
      "email": "sorelli@lens.unifi.it",
      "familyName": "Sorelli",
      "givenName": "Michele"
    },
    {
      "id": "https://orcid.org/0000-0003-3077-3904",
      "type": "Person",
      "affiliation": {
        "type": "Organization",
        "name": "European Laboratory for Non-Linear Spectroscopy (LENS), Sesto Fiorentino, Italy; National Research Council  National Institute of Optics (CNR-INO), Sesto Fiorentino, Italy; dDepartment of Physics and Astronomy, University of Florence, Sesto Fiorentino, Italy"
      },
      "email": "mazzamuto@lens.unifi.it",
      "familyName": "Mazzamuto",
      "givenName": "Giacomo"
    }
  ],
  "dateModified": "2025-02-10",
  "description": "Foa3D (3D Fiber Orientation Analysis) is a Python tool for multiscale nerve fiber enhancement and 3D orientation analysis in large high-resolution volumetric images acquired by two-photon scanning or light-sheet fluorescence microscopy.",
  "downloadUrl": "https://github.com/lens-biophotonics/Foa3D/archive/refs/tags/v0.1.0.zip",
  "identifier": "34f53a74-50f0-49df-a437-043a4dbc5c5b",
  "keywords": [
    "3D fluorescence microscopy",
    "connectomics",
    "myeloarchitectonics"
  ],
  "name": "Foa3D",
  "operatingSystem": [
    "Linux",
    "Windows"
  ],
  "programmingLanguage": "Python 3",
  "schema:releaseNotes": "Initial release.",
  "runtimePlatform": "CPython",
  "softwareRequirements": "Python  3.8",
  "version": "0.1.0",
  "referencePublication": "https://doi.org/10.1038/s41598-023-30953-w"
}