Monday, 9 February 2026

Feature release of AstroDMx Capture Version: 2.16.2 (All Platforms)

Nicola has released a new version of AstroDMx Capture

For Linux x86-64 • Linux ARM • macOS x-86 • Apple silicon • Windows 


Mutatis mutandis

  1. Added: PlayerOne filter wheel support
  2. Added: ZWO camera support (Apple Silicon)
  3. Added: ZWO filter wheel support (Apple Silicon)
  4. Added: Atik camera support (Apple Silicon)
  5. Improved: Cooler readout
  6. Improved: QHY TEC cooler controls
  7. Improved: Debugging support
  8. Updated: QHY SDK
  9. Updated: Atik SDK
  10. Updated: Altair SDK
  11. Updated: Touptek SDK
  12. Updated: PlayerOne SDK
  13. Updated: ZWO Camera SDK
  14. Updated: ZWO Filter Wheel SDK
  15. Slew to zenith and stop tracking implemented to facilitate Flat field collection if an illuminated panel is used.
Meanwhile Nicola continues to work on version 3 of AstroDMx Capture making a range of functional and efficiency changes plus new features in addition to making the software Wayland compliant with Qt6.

Saturday, 7 February 2026

LuckyStackWorker working on nebulosity

There is a cross-platform tool called 'LuckyStackWorker" for processing stacked solar, lunar and planetary images and also for stacking solar, lunar and planetary images. It runs on Windows, Linux, macOS x86 and Apple Silicon. It is written and maintained by Dutchman Wilko Kasteleijn. It was first released in 2022 and is now on version 7. It requires 16 bit TIFF or PNG images.

For these tests we stacked a Seestar S50 RAW AVI lunar file using the SetiAstroSuitePro Planetary stacker.

Click on an image to get a closer view

SetiAstroSuitePro Planetary stacker stacking a RAW lunar AVI file from a Seestar S50

LuckyStackWorker processing the stacked image


LuckyStackWorker processing the stacked image


This was LuckyStackWorker doing the job for which it was intended. The test that we did was to use it to sharpen a starless deep Sky image. The image was a starless blend of RGB and SHO data from a QHY Minicam8 and a William Optics 81mm APO refractor, captured by AstroDMx Capture.
We are not claiming that this is an optimal sharpening of the nebulosity because there are numerous controls and settings in the software. This is a demonstration of the possibility that LuckyStackWorker can also be used to sharpen 16 bit starless nebulosity.

Screenshot animation showing the sharpening of the M42/43 nebulosity as some settings are changed



Animation showing the original and the sharpened images of the M42/43 nebulosity


It seems that LuckyStackWorker also has a place in deep sky image processing as well as lunar, solar and planetary imaging.


Monday, 2 February 2026

Producing 'RGB' stars from Ha, O3 and S2 data

When we are doing narrowband imaging we frequently don’t have time to do separate RGB imaging for the stars. This is due to a number of reasons:

The fact that clear nights are so infrequent.

At our imaging place there is only a relatively short window of opportunity to capture narrowband data on any target before it runs into obstructions.

As our imaging is exclusively for the testing of Nicola’s capture software AstroDMx Capture, it is in the best interests of our imaging to capture as much data as possible through each narrowband filter.

Thus the fact remains that we frequently have to use less than ideal stars in terms of their colours. Frequently we have used HOO data to obtain a stars image and then gently adjusted hue and saturation to produce subtle star colours that are usable in the final images.

There are, however  pixelmath based procedures that produces more realistic star colours.

Some pixelmath formulae are:

Method 1

R = Ha * 0.8 + SII * 0.2

G = OIII

B = OIII


Method 2

R = 0.4 * Ha + 0.6 * S2

G = 0.4 * O3 + 0.3 * Ha + 0.3 * S2

B = O3


A simpler blend using only Ha and O3 data:

Method 3

R = Ha

G = 0.2 * Ha + 0.8 * O3

B = O3


These methods produce different but acceptable star colours.

It seems logical to combine the three methods into an average pixelmath formula:

Blend of the three methods (Method 4):

R = ((Ha * 0.8 + S2 * 0.2) + (0.4 * Ha + 0.6 * S2) + (Ha)) /3

G = ((O3) + (0.4 * O3 + 0.3 * Ha + 0.3 * S2) + (0.2 * Ha + 0.8 * O3)) / 3

B = ((O3) + (O3) + (O3)) / 3


Which simplifies to:

R = ((Ha * 0.8 + S2 * 0.2) + (0.4 * Ha + 0.6 * S2) + (Ha)) /3

G = ((O3) + (0.4 * O3 + 0.3 * Ha + 0.3 * S2) + (0.2 * Ha + 0.8 * O3)) / 3

B = O3

The data used here are of the Tadpoles nebula IC410, LBN807. Captured by AstroDMx Capture with a QHY Minicam8 through a William Optics 81mm APO refractor with a 0.8 reducer/flattener. The Ha, O3 and S2 data were stacked and part processed in PixInsight. The stars were removed and kept as Ha, O3 and S2 star images. The starless images were processed as described in the previous article to produce the Gendler palette which for the tests here was channel shifted to Gendler-GRB. The stars were then processed in PixInsight with BlurXterminator set to correct only.

Click on an image to get a closer view

Starless image of the Tadpoles nebula in the Gendler palette RGB


Starless image of the Tadpoles nebula in the Gendler palette channel-shifted to GRB 


Gendler GRB with Method 1 stars


Gendler GRB with Method 2 stars


Gendler GRB with Method 3 stars


Gendler GRB with Method 4 stars (pixelmath average of Methods 1,2 and 3)


Each method produces stars that are subtly different, particularly the redness of the red stars. Methods 1 and 3 produce vivid red stars whereas in Method 2 the red stars are a more yellowy red. The average of methods 1,2 and 3 produces red stars with a more gentle red rather than a deep red.

These are all subjective views of the results which are only an approximation to true RGB stars. However, the methods produce more realistic stars than any narrowband palette does and the stars are processed separately from the nebula. Our personal preference is Method 4 but in the end it is a matter of personal taste. Moreover, the methods presented here are not exhaustive and it is entirely possible that even more realistic star colours could be produced by other means.