June 16, 2025 Software Open Access

Gupta, Shuvam

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{
  "@id": "https://doi.org/10.14278/rodare.3808", 
  "sameAs": [
    "https://www.hzdr.de/publications/Publ-41479"
  ], 
  "identifier": "https://doi.org/10.14278/rodare.3808", 
  "creator": [
    {
      "@type": "Person", 
      "name": "Gupta, Shuvam"
    }
  ], 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "version": "1.0.0", 
  "name": "mspacman", 
  "keywords": [
    "Particle characterization", 
    "3D analyses", 
    "Mineralogy", 
    "Open-source software", 
    "CT"
  ], 
  "description": "<p>mspacman is an open-source Python package for 3D particle characterization in CT images. It is specifically developed to address partial volume blur (PVB). The software models PVB using a linear mixing approach to individual particles&#39; grey value histograms. It supports samples with up to 11 mineral phases and can quantify particles containing up to 5 distinct phases. mspacman semi-automates the entire analysis pipeline. This includes image upload, geometrical and intensity properties extraction, histogram computation, phase quantification, and bootstrapped uncertainty estimation. The package provides a scalable framework for high-resolution mineral characterization.</p>", 
  "@context": "https://schema.org/", 
  "datePublished": "2025-06-16", 
  "@type": "SoftwareSourceCode", 
  "url": "https://rodare.hzdr.de/record/3808"
}