Wouter-Michiel Vierdag

Overall you can pass `c_coords` right now which is a list with length equal to the number of channels. Here you can set a prefix for the round as well...

Note that it only works if affine transformation is enough. Bilinear transforms are not supported yet but it is in the planning.

Yes you can indeed just create ordinary channel names and store the information like that. Personally I would give the images the name of 'roundn_suffix_of_choice' and then store the channel...

not directly in SpatialData. I would say this is more some work with the current OME-NGFF challenge on metadata. The structure you state here is also what I use myself...

Picking this up today as my first PR getting back to development hehe. Will report back

I take it that we should perhaps also add a notebook explaining the matplotlib norm.

ok fixed it, just testing now, but here already with vmin / vmax / clip and without:  

@wangjiawen2013 if you would like you can check #368 to see whether it fixes the issue for you. This only fixes it for the matplotlib render. Once the solution is...

Hi! This is not in the current release yet I believe. Thanks for your willingness to test! If you want you can test from main.

Your third testcase is incorrect btw, the problem here is that `clip` by default is False so for the third one the output is correct with how you specified it....