Hidden
Electron Holography — 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 |
|---|---|---|
| biprism_voltage | -1.4 – 4.6 | V |
| fringe_spacing | -0.07 – 0.23 | nm |
| partial_coherence | -3.5 – 11.5 | % |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | SwinHolo + gradient | 0.685 | 26.88 | 0.855 | 0.87 | ✓ Certified | Wang et al., Ultramicroscopy 2023 |
| 2 | PhysHolo + gradient | 0.667 | 26.11 | 0.835 | 0.86 | ✓ Certified | Chen et al., Nat. Commun. 2024 |
| 3 | DiffHolo + gradient | 0.659 | 26.79 | 0.853 | 0.75 | ✓ Certified | Gao et al., NeurIPS 2024 |
| 4 | TransHolo + gradient | 0.640 | 25.5 | 0.818 | 0.79 | ✓ Certified | Li et al., Nat. Commun. 2022 |
| 5 | DeepHolo + gradient | 0.606 | 23.46 | 0.749 | 0.86 | ✓ Certified | Rivenson et al., Optica 2018 |
| 6 | DnCNN-Holo + gradient | 0.571 | 22.5 | 0.711 | 0.81 | ✓ Certified | Gao et al., Ultramicroscopy 2019 |
| 7 | WDD-Holo + gradient | 0.475 | 18.78 | 0.539 | 0.86 | ✓ Certified | Lichte, Ultramicroscopy 1986 |
| 8 | TV-Phase + gradient | 0.420 | 17.73 | 0.487 | 0.74 | ✓ Certified | Beleggia et al., Ultramicroscopy 2004 |
| 9 | FFT-Holo + gradient | 0.403 | 16.31 | 0.416 | 0.87 | ✓ Certified | Lehmann & Lichte, Microsc. Microanal. 2002 |
Dataset
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%