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
