Hidden
Electron Tomo — Hidden Tier
(3 scenes)Fully blind server-side evaluation — no data download.
What you get
No data downloadable. Algorithm runs server-side on hidden measurements.
How to use
Package algorithm as Docker container / Python script. Submit via link.
What to submit
Containerized algorithm accepting y + H, outputting x_hat + corrected spec.
Parameter Specifications
🔒
True spec hidden — blind evaluation, only ranges available.
| Parameter | Spec Range | Unit |
|---|---|---|
| tilt_angle | -0.35 – 1.15 | deg |
| tilt_axis | -0.21 – 0.69 | deg |
| defocus_gradient | -7.0 – 23.0 | nm/μm |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | SwinET + gradient | 0.732 | 29.47 | 0.908 | 0.87 | ✓ Certified | Wang et al., Ultramicroscopy 2023 |
| 2 | DiffET + gradient | 0.706 | 29.0 | 0.9 | 0.78 | ✓ Certified | Gao et al., NeurIPS 2024 |
| 3 | PhysET + gradient | 0.619 | 24.74 | 0.794 | 0.77 | ✓ Certified | Chen et al., Nat. Commun. 2024 |
| 4 | TransET + gradient | 0.594 | 23.08 | 0.734 | 0.85 | ✓ Certified | Li et al., Nat. Methods 2022 |
| 5 | IsoNet + gradient | 0.588 | 23.53 | 0.751 | 0.76 | ✓ Certified | Liu et al., Nat. Commun. 2021 |
| 6 | DnCNN-ET + gradient | 0.552 | 21.34 | 0.661 | 0.87 | ✓ Certified | Buchholz et al., Nat. Methods 2019 |
| 7 | SIRT-ET + gradient | 0.508 | 20.56 | 0.625 | 0.76 | ✓ Certified | Gilbert, J. Theor. Biol. 1972 |
| 8 | WBP-ET + gradient | 0.382 | 16.17 | 0.41 | 0.78 | ✓ Certified | Radermacher et al., J. Microsc. 1987 |
| 9 | CS-ET + gradient | 0.338 | 14.0 | 0.31 | 0.87 | ✓ Certified | Leary et al., Ultramicroscopy 2013 |
Dataset
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%