Public
Electron Tomo — Public Tier
(3 scenes)Full-access development tier with all data visible.
What you get
Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.
How to use
Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.
What to submit
Reconstructed signals (x_hat) and corrected spec as HDF5.
Parameter Specifications
✓
True spec visible — use these exact values for Scenario III oracle reconstruction.
| Parameter | Spec Range | True Value | Unit |
|---|---|---|---|
| tilt_angle | -0.5 – 1.0 | 0.25 | deg |
| tilt_axis | -0.3 – 0.6 | 0.15 | deg |
| defocus_gradient | -10.0 – 20.0 | 5.0 | nm/μm |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
16.13 dB
SSIM 0.1412
Scenario II (Mismatch)
15.15 dB
SSIM 0.0535
Scenario III (Oracle)
17.70 dB
SSIM 0.1533
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 15.51 | 0.1325 | 14.81 | 0.0541 | 18.01 | 0.1778 |
| scene_01 | 16.91 | 0.1523 | 15.32 | 0.0536 | 17.33 | 0.1392 |
| scene_02 | 16.78 | 0.1493 | 15.75 | 0.0564 | 17.89 | 0.1431 |
| scene_03 | 15.33 | 0.1308 | 14.71 | 0.0498 | 17.58 | 0.1532 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | PhysET + gradient | 0.839 | 36.16 | 0.974 | 0.94 | ✓ Certified | Chen et al., Nat. Commun. 2024 |
| 2 | DiffET + gradient | 0.834 | 36.57 | 0.976 | 0.89 | ✓ Certified | Gao et al., NeurIPS 2024 |
| 3 | SwinET + gradient | 0.803 | 34.36 | 0.963 | 0.87 | ✓ Certified | Wang et al., Ultramicroscopy 2023 |
| 4 | TransET + gradient | 0.802 | 33.4 | 0.956 | 0.93 | ✓ Certified | Li et al., Nat. Methods 2022 |
| 5 | IsoNet + gradient | 0.768 | 31.1 | 0.932 | 0.92 | ✓ Certified | Liu et al., Nat. Commun. 2021 |
| 6 | DnCNN-ET + gradient | 0.691 | 27.07 | 0.86 | 0.88 | ✓ Certified | Buchholz et al., Nat. Methods 2019 |
| 7 | CS-ET + gradient | 0.617 | 23.49 | 0.75 | 0.91 | ✓ Certified | Leary et al., Ultramicroscopy 2013 |
| 8 | SIRT-ET + gradient | 0.591 | 22.41 | 0.707 | 0.92 | ✓ Certified | Gilbert, J. Theor. Biol. 1972 |
| 9 | WBP-ET + gradient | 0.460 | 17.91 | 0.496 | 0.91 | ✓ Certified | Radermacher et al., J. Microsc. 1987 |
Visible Data Fields
y
H_ideal
spec_ranges
x_true
true_spec
Dataset
Format: HDF5
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%