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Automating Deep Sky Astrophotography with PixInsight & AI — Early Experiments Part 3: M81 and M82
Automating Deep Sky Astrophotography with PixInsight & AI — Early Experiments
This is NOT a "look at my amazing processing" video. The results are rough, the code is experimental, and half of it might change next week. But the idea behind it is what I wanted to share.
I've been building a system that automates PixInsight image processing using Node.js and Claude AI. Instead of manually running dozens of processes for each target, a pipeline script drives PixInsight's
scripting engine through a file-based bridge. You describe your workflow in a JSON config — gradient removal, denoising, stretching, star handling, the works — and it runs the whole thing.
Why I'm sharing this now:
- The philosophy matters more than the pixels. I wanted to talk about why automating astrophotography processing is interesting, not show off finished images.
- Iteration speed changes everything. When you can re-run a full pipeline in minutes instead of hours of manual clicking, you learn faster — even if most runs look terrible.
- AI as a processing partner, not a magic button. Claude helps tune parameters, debug issues, and suggest next steps, but it doesn't replace understanding what the processes do.
What I walk through:
- The core idea: a Node.js orchestrator talking to PixInsight via file-based IPC
- Configurable branching pipelines (LRGB, HaRGB, HaLRGB)
- Checkpoint/resume so you don't start from scratch every time
- A web editor for tweaking pipeline configs visually
- Honest look at where it works, where it breaks, and what's next
This is very much a work in progress. If you're into astrophotography and curious about where automation and AI might take image processing, I'd love to hear your thoughts.
Links:
- GitHub: https://github.com/aescaffre/pixinsight-mcp
- PixInsight: https://pixinsight.com
- My Remote Observatory location: AstroARO (we have one seat available, go to contact if you are interested) https://astrolentejo.fr/
Topics: astrophotography, PixInsight, image processing, automation, deep sky, Node.js, AI, open source, experimental
Видео Automating Deep Sky Astrophotography with PixInsight & AI — Early Experiments Part 3: M81 and M82 канала Alain Escaffre
This is NOT a "look at my amazing processing" video. The results are rough, the code is experimental, and half of it might change next week. But the idea behind it is what I wanted to share.
I've been building a system that automates PixInsight image processing using Node.js and Claude AI. Instead of manually running dozens of processes for each target, a pipeline script drives PixInsight's
scripting engine through a file-based bridge. You describe your workflow in a JSON config — gradient removal, denoising, stretching, star handling, the works — and it runs the whole thing.
Why I'm sharing this now:
- The philosophy matters more than the pixels. I wanted to talk about why automating astrophotography processing is interesting, not show off finished images.
- Iteration speed changes everything. When you can re-run a full pipeline in minutes instead of hours of manual clicking, you learn faster — even if most runs look terrible.
- AI as a processing partner, not a magic button. Claude helps tune parameters, debug issues, and suggest next steps, but it doesn't replace understanding what the processes do.
What I walk through:
- The core idea: a Node.js orchestrator talking to PixInsight via file-based IPC
- Configurable branching pipelines (LRGB, HaRGB, HaLRGB)
- Checkpoint/resume so you don't start from scratch every time
- A web editor for tweaking pipeline configs visually
- Honest look at where it works, where it breaks, and what's next
This is very much a work in progress. If you're into astrophotography and curious about where automation and AI might take image processing, I'd love to hear your thoughts.
Links:
- GitHub: https://github.com/aescaffre/pixinsight-mcp
- PixInsight: https://pixinsight.com
- My Remote Observatory location: AstroARO (we have one seat available, go to contact if you are interested) https://astrolentejo.fr/
Topics: astrophotography, PixInsight, image processing, automation, deep sky, Node.js, AI, open source, experimental
Видео Automating Deep Sky Astrophotography with PixInsight & AI — Early Experiments Part 3: M81 and M82 канала Alain Escaffre
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22 февраля 2026 г. 23:21:17
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