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The example dataset at https://docs.openmicroscopy.org/ome-model/6.0.0/ome-tiff/data.html#plate contains multiple (thousands of) scenes (think "plate positions"). aicsimageio allows accessing them via the scenes and current_scene attributes and set_scene method on the AICSImage object. On the other hand, AFAICT (but I may be wrong), pyometiff only lets one access the first scene. (My guess is that accessing the other scenes requires passing the series kwarg to TiffFile.asarray(...).)
The text was updated successfully, but these errors were encountered:
you're absolutely right, thanks for the feedback (I never actually tested on that stack).
It would be trivial to add a series arg to open different series, but I'd need a moment to evaluate how to integrate multi-series support at large.
I'll take a look ASAP but if you have suggestions I'm more than happy to receive them!
Thanks again
The example dataset at https://docs.openmicroscopy.org/ome-model/6.0.0/ome-tiff/data.html#plate contains multiple (thousands of) scenes (think "plate positions"). aicsimageio allows accessing them via the
scenes
andcurrent_scene
attributes andset_scene
method on theAICSImage
object. On the other hand, AFAICT (but I may be wrong), pyometiff only lets one access the first scene. (My guess is that accessing the other scenes requires passing theseries
kwarg toTiffFile.asarray(...)
.)The text was updated successfully, but these errors were encountered: