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 |