MAY 4 2026: APP 2.0.0-beta44 has been released !
New improved internal memory controls should now work on all computers
May 1 2026: APP 2.0.0-beta43 has been released !
Improved internal memory controls (much more stable and faster on big datasets), fixed CPU image viewer, fixed Narrowband extraction demosaic algortihms.
Apr 29 2026 APP 2.0.0-beta42 has been released !
New improved Normalization engine, Fixed random crashes in integration, fixed RGB Combine & Calibrate Star Colors, fixed Narrowband extraction algorithms, new development platform with performance gains, bug fixes in the tools, etc...
Apr 14 2026: Google Pay, Apple Pay & WeChat Pay added as payment options
Update on the 2.0.0 release & the full manual
We are getting close to the 2.0.0 stable release and the full manual. The manual will soon become available on the website and also in PDF format. Both versions will be identical and once released, will start to follow the APP release cycle and thus will stay up-to-date to the latest APP version.
Once 2.0.0 is released, the price for APP will increase. Owner's license holders will not need to pay an upgrade fee to use 2.0.0, neither do Renter's license holders.
Hi, I'm having an issue processing an image taken with the Optolong L-extreme filter -- it looks like the Ha and O3 layers are not exactly aligned.
First off, when I process the data as "HaO3 color", it looks pretty good, everything is aligned:
https://photos.app.goo.gl/6mogr7Pji8vz75jB8
However, when I process the data as "HaO3 extract Ha", then "HaO3 extract O3" it's not.
First, the Ha data after integration https://photos.app.goo.gl/7Xi1WPbqU2MMkDej7
You can see a sliver of black at the top left, running along and then tapering off to nothing about half way across the image.
Looking at the O3 integration, the sliver of black is at the bottom left margin, again tapering off to about nothing halfway across the image.  https://photos.app.goo.gl/vdVuBnQLXrwk7o6H6
Combining these 2 with color weighting shows the result that red and green are misaligned at the left side of the picture, but fairly well aligned at the right:Â Â https://photos.app.goo.gl/NMdJN2C6S94PHe5U6
This is weird! Particularly because I've done this before, and not seen the same thing, for example in this false color image of the Pacman Nebula:Â https://photos.app.goo.gl/JLVddJC4Qjm9DsDSA
Can someone help me debug this issue?
@rkmvca Hi Rich,
Which version of APP do you use and on which OS are you?
Meanwhile, you can take the Ha and OIII integration results and load them as lights (no calibration data). Then go to tab 5 and click the normalize button. This will execute the intermediate steps, including registration. When done, save the normlized files in tab 5 and combine those.
HTH, Wouter
I am on version 1.083, windows 10 64 bit . I'll try your 'meanwhile' suggestions and get back to you tomorrow.
Thanks!
- Rich
@rkmvca Hi Rich,
Can you make sure to use version 1.083.4? The other, older, 1.083 versions have bugs that may explain the symptoms you see.
Wouter
Hi Wouter,
Should I just go ahead and use 2.0.0-beta 9? I have it downloaded but not installed.Â
- Rich
@rkmvca Hi Rich,
If you would mind and answer my question about which version you currently are using, then I can advise you better. If you are not using 1.083.4 then 1.083.4 should be good. However, 2.0.0-beta9 should be better but bear in mind that that's a beta version and may contain bugs.
Wouter
Oh, sorry about that, I thought I mentioned it. I'm on 1.083. I'll try 1.083.4 then.Â
Â
@rkmvca You did mention 1.083 but it was unclear to me if that was a generic indication of any 1.083 version or 1.083(.0) specifically 🙂 Â Anyway, yes please try 1.083.4 and let us know here if that solves your issue.Â
Hi Wouter -Â
Following the steps outlined in your first response at 0:08 using 1.083.4, things worked and I got a decent image!Â
https://photos.app.goo.gl/jX8hqKhe3vE9L2u77
Thanks much,
- Rich
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