| # 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. | |