issues: 341321742

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
341321742 MDExOlB1bGxSZXF1ZXN0MjAxNDk4NjYx 2287 ENH: Adapt scipy example to imageio 2089799 closed 0     6 2018-07-15T13:38:21Z 2022-04-07T20:21:35Z 2022-04-07T20:21:35Z NONE   0 pydata/xarray/pulls/2287

Hello :)

I am working on multi-dimensional bioimages (3D volume / time / wavelength), but the preferred file formats in microscopy communities are TIFF and its derivatives. After some trial and errors, I have managed to piece together (imageio) as one of the backends. I am aware that there is rasterio for GeoTIFF, but consider imageio has decoders for other bioimage favored formats, I've still decide to give it a try.

Currently, only read is possible, haven't figured out how to properly write back, since these image containers have slightly different design philosophy then netcdf format, would love to have some feedbacks or comments. If read-only is okay for review, here it is :p

  • [ ] Closes #xxxx (remove if there is no corresponding issue, which should only be the case for minor changes)
  • [ ] Tests added (for all bug fixes or enhancements)
  • [ ] Tests passed (for all non-documentation changes)
  • [ ] Fully documented, including whats-new.rst for all changes and api.rst for new API (remove if this change should not be visible to users, e.g., if it is an internal clean-up, or if this is part of a larger project that will be documented later)
 
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