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 |