Featured Courses

A foundational course for mastering calibration, gradient correction, and the core processing logic behind PixInsight.

This course offers a clear, structured approach to the essential stages of astrophotography image processing—designed for learners who want more than just steps to follow. Starting with an in-depth exploration of the Weighted Batch PreProcessing (WBPP) script and manual calibration workflows, you’ll gain a solid grasp of how your raw data becomes a clean, calibrated image.

The Image Integration and Normalization section goes beyond workflow—it’s designed to help you truly understand what’s happening behind the scenes. You'll learn what fluctuations are, why you need many exposures, how statistical rejection and weighting schemes operate, and how those concepts directly inform PixInsight’s tools and parameters.

Through demonstrations and conceptual explanations, this course connects the why and how of image processing—giving you the context you need to make confident, intelligent processing choices. 

A hands-on guide to understanding and applying PixInsight's essential tools as a curated set of PixInsight’s most important and widely used processes.

This isn’t just button-pushing—each topic is designed to give you both the practical know-how and the underlying concepts that drive better, more confident processing decisions.

From the numerical power of PixelMath to the structure-enhancing power of wavelets (via MLT and MMT), and from HDRMT and Morphological Transformation to smart usage of tools like SubFrameSelector, LinearFit, and Process Containers, this course connects the dots between tools, theory, and technique.

Whether you’re still learning your way around PixInsight or looking to sharpen your understanding of how these processes really work, the Portfolio is packed with useful demonstrations, thoughtful explanations, and real-world context. 

This course is a carefully chosen set of demonstrations that show how specific, high-impact scripts can simplify your workflow and improve your results. From third-party tools like NoiseXTerminator v2 to built-in gems like ImageBlend, ColorMask, Substitution, and NSG, each lesson gives you the insight needed to use these scripts with clarity. You'll also learn how to install scripts from repositories, understand how masks are applied in ImageBlend, and explore use cases like Orton glow, LRGB overlays, and adding a graphic or signature. 

This course is built for those who want to jump into real PixInsight workflows and follow along with complete examples from start to finish. Whether you're just getting started or already learning fundamental concepts elsewhere (like in the PixInsight Core course), this is your chance to see how it all comes together.

Each project in Workflow Examples is based on a real dataset, many of which are available for download so you can process the images side-by-side with the videos. You’ll see how common tools are used in practical scenarios—WBPP, SPCC, DBE, Local Normalization, BlurXTerminator, StarXTerminator, NoiseXTerminator and many more—while also picking up best practices, tricks, and deeper insights along the way.

And while the course isn't designed to explain every concept from the ground up, it doesn't require you to wait until you’ve mastered every theory either. It’s okay to learn in parallel—watch a workflow, then go deeper when you’re ready. 

The Example images in this Course include:

LDN 183 (Mono RGB)	M83 (LRGB)	NGC 1491 (Mono RGB)
M13 (OSC)	M42 (OSC)	M51 (LRGB plus Ha/Continuum Subtraction

This course is a treasure trove of solutions, techniques, and insights—curated from years of real astrophotography experience and designed to save you from frustration, wasted time, and the feeling of “why didn’t anyone tell me that?”

Many of these lessons are born directly from challenges faced by imagers like you: how to fix scattered light, remove star color fringing, prevent over-subtraction, correct flat-fielding errors, and more. Other videos explore innovative methods—like Adam Block’s original star de-emphasis techniques, advanced mask usage, or selective rejection strategies—that you simply won’t find elsewhere.

It’s not just a catalog of fixes; it’s also packed with creative techniques and deep diagnostics that help you better understand what’s happening in your data—and how to take control of it.

Yes, you might come here for one solution. But you’ll leave with tools you didn’t even know you needed—until now.