| barplot_with_interval | Barplot with Intervals |
| barplot_with_interval_23 | Barplot with Intervals for two or three bars beside |
| class.neighbours | Class neighbourhood distribution |
| class.neighbours.folder | class.neighbours.folder |
| classify | Classify DAPI |
| classify.folder | Classify DAPI |
| classify.single | Classify DAPI |
| classify.table | Count classes in classified image |
| colors.in.classes | Compute colors in classes distribution |
| colors.in.classes.folder | Compute colors in classes distribution for folders |
| compute.distance2border | Compute distance to border of classes |
| dapimask | Mask DAPI in kernel |
| dapimask.file | Automatic DAPI mask segmentation for files |
| dapimask.folder | Automatic DAPI mask segmentation for folder |
| find.spots.file | Detects spots for one file |
| find.spots.folder | Detects spots |
| heatmap.color | Heatmap colors for n classes |
| heatmap7 | Heatmap colors for 7 classes |
| nearestClassDistances.folder | Find all distances to next neighbour of all classes for folders |
| plot_classify.folder | Plot barplot for classified images in a folder |
| plot_colors.in.classes.folder | Plot for colors in classes distribution for folders |
| plot_nearestClassDistances.folder | Plots all distances to next neighbour of all classes for folders |
| splitchannel | Split RGB channels |
| splitchannels | Split RGB images into channels and pixel size information |
| splitchannels.file | Split channels into files and extracts size in microns |
| splitchannels.folder | Split RGB images into channels and pixel size information |
| spots.combined | Find spots using information from two channels |
| spots.combined.file | Find spots using information from two channels |
| spots.combined.folder | Find spots using information from two channels for folder |
| t_colors.in.classes.folder | Test for colors in classes distribution for folders |