Unique to StarTools, channel assignment does not dictate final coloring. In other words, loading, for example, a SHO dataset as RGB, does not lock you into using precisely that channel mapping. Thanks to the signal evolution Tracking engine, the Color module allows you to completely remap the channels at will for the purpose of colouring, even far into your processing.
As is common practice in astronomy, StarTools assumes channels are imported in order of descending wavelength. E.g. the dataset with the longest wavelength (e.g. the light with the highest nm or Å comes first). In other words, the reddest light comes first, and the bluest light comes last.
In practice this means that;
In any case, you should not concern yourself with the colouring until you hit the Color module in your workflow; as opposed to other software, this initial channel assignment has no bearing at all on the final colouring in your image. Please note that failing to import channels correctly in the manner and order described above, will cause the Color module to mis-label the many colouring and blend options it offers.
The workflow details the usual data prep, bias/gradient removal, stretching, deconvolution, color calibration and noise reduction.
A video is also available that shows a simple, short processing workflow of a real-world, imperfect dataset.
The crop module is an easy-to-use image cropping tool with quick aspect ratio presets and switchable luminance and chroma preview modes.
StarTools stores the masks you used in your workflow in the StarTools.log file itself.
These more advanced techniques will allow you to create specialised masks for specific situations and purposes.
You can convert everything you see to a format you find convenient. Give it a try!