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1428e46 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | # Attribution and modification notice
## Original material
**DeepDeWedge Tutorial Data**
Creator: Simon Wiedemann
DOI: <https://doi.org/10.6084/m9.figshare.25043435.v1>
Figshare file id: `45582309`
Archive member: `tutorial_data/fitted_model.ckpt`
License: Creative Commons Attribution 4.0 International
The method is described by Simon Wiedemann and Reinhard Heckel, *A deep
learning method for simultaneous denoising and missing wedge reconstruction in
cryogenic electron tomography*, Nature Communications 15, 8255 (2024),
<https://doi.org/10.1038/s41467-024-51438-y>.
Pinned upstream code: <https://github.com/MLI-lab/DeepDeWedge/tree/072075692a44a8f17394214369e6e762abe52bc3>
(BSD-2-Clause).
## Changes in this package
On 2026-09-04 Scitomo freshly converted only the authoritative checkpoint
`official/fitted_model.ckpt`, after byte-size and SHA-256 verification, through
the exact pinned upstream source and current generic FORMAT 2 exporter. The
54 U-Net state tensors were explicitly mapped into canonical Network state.
The two fitted affine quantities were preserved as external DeepDeWedge
inference-profile state; they are not Network state. No old Hugging Face
Safetensors or format-1 package artifact was conversion input.
No endorsement by the cited authors, the Machine Learning and Information
Processing Laboratory, Figshare, or the rights holders is implied.
On 2026-09-23 Scitomo prepared revision 4 as a metadata-only update: the zero-degree missing-wedge support center became explicit in the inference contract. The verified revision-3 Safetensors bytes and original source attribution remain unchanged.
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