This is an experiment of sorts. I took the Ha and OIII data and stretched them with the Delinear script in Pixinsight. Then I loaded each as layer in Photoshop and then used GradientMap to map the OIII data to a bluish color I liked and then mapped the Ha data to a golden color. I set each layer to 'Linear Dodge' and blended them with a background solid layer set to (18/18/18) RGB.

After lots of futzing around with minimizing stars and using the high pass filter to enhance contrast I settled on this version.

I feel I was able to better present the faint tendrils of WR134 by mapping directly to a bluish color compared to when I tried variations of HOO with the Green channel being a linear combination of Ha and OIII. The output of those tests always needed considerable SelectiveColor help in Photoshop that eventually degraded the tendrils in WR134.

It was a fun experiment.

All the data with collected with RASS which is an automation suite I've written in Python. There is no GUI like traditional programs. I have a "sequence server" that connects to all the hardware and accepts sequence requests. It handles pre-pointing, focusing, pier flipping, etc.

I have another program that I feed in project definitions and it schedules the requested observations and feeds them to the sequence server.

A project definition is just a list of targets with priorities and a list of observations for each filter for each target, also with optional priories. You can also set constraints on altitude and start/end time. All of this is stored in YAML files which are quick and easy to edit by hand.