Data analysis

Data analysis

  • Targeted workflows, both in the spatial and in the mass domains 
  • Optimized workflow for fast check of the data (for targeted or QC applications) 
  • Possibility to automatically cluster and visualize isobars images with different mobility values  
  • Spatial segmentation based on popular k-means and bisecting k-means segmentations, possible on the entire dataset or on a subset (i.e., biomarkers driven segmentation) 
  • Co-localization analysis on ROIs, m/z values and clusters from segmentation 
  • ROI Analysis (supervised and unsupervised, multivariate and univariate statistical analysis) 
  • Multiple dataset analysis