Ruben Verweij

If this is possible, this would be really useful.

@joaomamede that is an interesting idea! Currently that is hard because of the way the ND2 file format is structured. There is a header at the start, then all the...

Thanks for the report. Yes, this is currently a known limitation, the metadata is used exclusively to access frames. It would be good to solve this, but it requires an...

Thank you for your report @jboulanger. The `iter_axes` attribute is something you can change yourself to determine over which axes to iterate, see this documentation: http://soft-matter.github.io/pims/v0.5/multidimensional.html The size issue is...

Hi thanks for your question. There is no fundamental reason why this would not be possible, however as it stands, it is not implemented. The relevant code is in `reader.py`:...

Hi @joaomamede there is more metadata available but it is "hidden", there is not a nice parser available yet that converts it from the raw bytes to the proper Python...

The approach you mention via the `_raw_metadata` is indeed the only way to get the "extra" attributes that are not implemented via the `.metadata` attribute. However, the z levels should...

Thank you for the addition Cedric. @bioimage-analysis @ColinDTaylor @aaristov could you maybe all add a link to a sample ND2 file that I can download? I'd really like to solve...

This should now be fixed in the latest master version with PR #40 (thanks again @ggirelli !) If anyone could test this with their images, that would be appreciated.

@ggirelli OK thank you. please keep us posted. Does it happen for images with (x,y,z,c) channels only or also (x,y,z,t) or (x,y,c,t) images for example?