Data adquisition process:
Whenever we start an observing project, we take into consideration among various factors how much observing time will it take to reveal faint, hard-to-detect structures. For example, integrated flux nebulae or faint filaments of ionized hydrogen require a lot of observing time to be detected reliably and credibly.  

This particular project, contrary to other ones that required us to plan big mosaics and spend countless hours observing through our typical two filter (HaRGB) setup finally let us work on one single panel. That gave us the benefit of focusing all of our integration time into one specific region, which revealed very promising data. Although, this particular image was a lower priority project as the other high priority one were not available all night long, it is a perfect example of why our telescope never stops imaging.

And so, minute by minute, frame by frame, night after night and with more than 80 hours of integration time distributed in 27 sessions between August and October 2023, we proudly share from the APEX (Atacama Pathfinder Experiment) control center in San Pedro de Atacama, Chile (Bortle 2) our deep integration of M33, which accumulated into it's well deserved "secondary" observing time.

Processing notes:
As for the processing, it took me a surprisingly short amount of time as we already have an established workflow, considering also that this is a single panel image, which speeded things up. I started aligning and cropping both images in Pixinsight for cleaning them in GraXpert using it's new AI gradient removal algorithm.
Then, I processed separately each image on it's own with the only goal of extracting as much signal while maintaining a decent amount of noise. With both images ready, I decided to try Pixinsight's NBRGB Combination script, and it worked quite well.
At the end, I opened the resulting image in Photoshop and made some enhancements. Finally, I imported the RGB image that came from Pixinsight and began to reveal with the paintbrush tool it's background applying it as a layer mask.