May 27 2026 APP 2.0.0-beta45 has been released !
Fully Multi-Threaded LNC, many improvements for the registration engine, platform upgrade, and further tuning of internal memory consumption and memory release back to OS.
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 guys
I'm currently planning to work on multi cameras and optics projects.
The data is like this:
Wide field frames around Alfirk in the Cepheus using 100mm lens and Nikon D810
Some objects in the field of view of the wide filed image:
LDN1235 - 530mm and Nikon D810 (4.88 micron)
Iris nebula - 1120mm and Nikon D810 (4.88 micron)
VDB152 - 612mm and QSI683 LRGB (5.4 micro)
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Do you think that it is possible to integrate them together?
I'm quite new to this type of projects.
It will be super helpful if someone can help me to figure out the best work flow for projects like this.
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Thank you!
Donghun
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Yes that should be possible. Have a look at this result which is a integration of data of all kinds of users together; this is the kind of setting where APP shines in having best-in class calibration. You will need calibration files for all situations, you can go through the integration and correction process for each scope/sensor, then combine those end-results with each other.
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Hi Vincent
Do you usually put all the subs together from the beginning and go through the whole process or integrate each group separately and register/integrate them again separately (similar to mosaic?)?
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Thank you!
Donghun
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If your system can handle it you can combine them and it would (I think) create a better result. But memory will be a problem I think, so then I would combine 2 datasets first and combine the results later.
@vincent-mod
Thank you Vincent.
