Comments (2)
Consider accessing the pages directly (this requires assumptions about the underlying data, but is more performant than calls to tiff.series
). Also, it's possible this is not compatible with micro-manager multi-file, ome-tiff series.
with tifffile.TiffFile(filename) as tif:
data = tif.pages[pageindex].asarray()
Would require some rigorous validation and testing, but could boost speed substantially.
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closed with #39
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Related Issues (20)
- Focus-finding features
- Make `torch` optional dependency? HOT 4
- waveorder changes matplotlib backend at import HOT 2
- torch meshgrid warning
- Torch warning about copying tensors HOT 1
- Divide by zero during phase normalization
- Move PTI reconstructions to `torch` and `models`
- Remove `waveorder_reconstructor` and `waveorder_simulator` files HOT 1
- Support GPUs via `torch` HOT 1
- Unused `pycromanager>=0.13.2` requirement
- Phase transfer function is numerically small HOT 3
- [Bug] Overlapping rings in phase transfer function HOT 5
- Tests fail on macbook with incomplete MPS support HOT 6
- 3D phase reconstruction should not use reflection padding HOT 2
- Non-negative fluorescence output? HOT 2
- Fluorescence deconvolution issues HOT 1
- Bump Python
- New release HOT 3
- Severe artifacts and blur in 2D phase reconstruction HOT 1
- Run CI on multiple platforms
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