I tried to render a dataset (3d array of intensities) and only Maximum Intensity Projection makes it look somehow realistic, although I see a lot of data missing. The question is how can I render a true volume with a custom-made colorscale that has fine-tuned alpha values to emphasize signal and make all the low-intensity noise transparent?
I could do that with ipyvolume setting a custom transfer function with alpha = some_strongly_non-linear_function(r,g,b). I could also do the same in Igor Pro (though it takes hours to render).
May be you can take an inspiration of true volume rendering from the ipyvolume?
True volume rendering rendering algorithm
I tried to render a dataset (3d array of intensities) and only Maximum Intensity Projection makes it look somehow realistic, although I see a lot of data missing. The question is how can I render a true volume with a custom-made colorscale that has fine-tuned alpha values to emphasize signal and make all the low-intensity noise transparent? I could do that with ipyvolume setting a custom transfer function with alpha = some_strongly_non-linear_function(r,g,b). I could also do the same in Igor Pro (though it takes hours to render). May be you can take an inspiration of true volume rendering from the ipyvolume?