<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Extracting Insights from Biological Images</dc:title>
  <dc:title>R package biopixR version 1.2.0</dc:title>
  <dc:description>Combines the 'magick' and 'imager' packages to streamline image analysis, focusing on feature extraction and quantification from biological images, especially 
    microparticles. By providing high throughput pipelines and clustering capabilities, 'biopixR' facilitates efficient insight generation for researchers (Schneider J. et al. (2019) 
    &lt;doi:10.21037/jlpm.2019.04.05&gt;).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.2.0), imager, magick</dc:relation>
  <dc:relation>Imports: data.table, cluster</dc:relation>
  <dc:relation>Suggests: tcltk, knitr, rmarkdown, doParallel, kohonen, imagerExtra,
GPareto, foreach</dc:relation>
  <dc:creator>Tim Brauckhoff &lt;brauctile@disroot.org&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Tim Brauckhoff [aut, cre] (ORCID:
    &lt;https://orcid.org/0009-0002-0142-7017&gt;),
  Stefan Roediger [ctb] (ORCID: &lt;https://orcid.org/0000-0002-1441-6512&gt;),
  Coline Kieffer [ctb]</dc:contributor>
  <dc:rights>LGPL (&gt;= 3)</dc:rights>
  <dc:date>2024-11-11</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=biopixR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.biopixR</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
