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Mantis Viewer

Robert Schiemann; Pier Federico Gherardini; Robin Kageyama; Mike Travers; Lacey Kitch


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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>Mantis Viewer is an application developed by the&nbsp;Parker Institute for Cancer Immunotherapy&nbsp;for viewing and analyzing multi-channel pathology imaging, such as IHC, Vectra, MIBI, IMC, CODEX, or other technologies. It has been designed to be highly performant and responsive when analyzing both large and small images and to support workflows with segmentation data.</p>", 
  "license": "https://opensource.org/licenses/GPL-3.0", 
  "creator": [
    {
      "affiliation": "Parker Institute for Cancer Immunotherapy", 
      "@id": "https://orcid.org/0000-0002-9410-8674", 
      "@type": "Person", 
      "name": "Robert Schiemann"
    }, 
    {
      "affiliation": "Parker Institute for Cancer Immunotherapy", 
      "@type": "Person", 
      "name": "Pier Federico Gherardini"
    }, 
    {
      "affiliation": "Parker Institute for Cancer Immunotherapy", 
      "@type": "Person", 
      "name": "Robin Kageyama"
    }, 
    {
      "affiliation": "Parker Institute for Cancer Immunotherapy", 
      "@type": "Person", 
      "name": "Mike Travers"
    }, 
    {
      "affiliation": "Parker Institute for Cancer Immunotherapy", 
      "@type": "Person", 
      "name": "Lacey Kitch"
    }
  ], 
  "url": "https://zenodo.org/record/4009580", 
  "datePublished": "2020-08-03", 
  "version": "v1.1.0-beta.1", 
  "keywords": [
    "imaging", 
    "microscopy", 
    "pathology", 
    "multi-channel", 
    "ihc", 
    "vectra", 
    "mibi", 
    "codex"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.4009580", 
  "@id": "https://doi.org/10.5281/zenodo.4009580", 
  "@type": "SoftwareSourceCode", 
  "name": "Mantis Viewer"
}
254
32
views
downloads
All versions This version
Views 254221
Downloads 3227
Data volume 3.3 GB2.7 GB
Unique views 217197
Unique downloads 2219

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