Yes, I have just tried that (ie uncheck bias and flat, leave dark checked, and uncheck the 2 options).
Same result.
I have checked that using PixelMath, subtracting the bias from the light gives the expected (normal) results when I check the box for rescaling the result between 0.0 and 1.0.
But,using ImageCalibration with only the (same) bias frame, and the Calibrate option unchecked, gives the strange quantization appearance.
Anyway, this discussion is useful as it's triggering me to try some further investigations. And I think I've found another clue to the problem.
Most of the pixels are value 0.0 and this is upsetting the auto-stretch function. If I use another approach, like histogram modification or Digital Development, I can see grey levels. BUT, due to the calibration step, only the brightest parts of the image remain, and most of the signal has been replaced by zeros.
I will remake a series of bias frames, and then, again, go through the process of generating master calibration frames.
Hopefully there was an error in my process which is exaggerated by the low signal in my lights.
thanks,
Richard