Dev
Electron Holography — Dev Tier
(3 scenes)Blind evaluation tier — no ground truth available.
What you get
Measurements (y), ideal forward operator (H), and spec ranges only.
How to use
Apply your pipeline from the Public tier. Use consistency as self-check.
What to submit
Reconstructed signals and corrected spec. Scored server-side.
Parameter Specifications
🔒
True spec hidden — estimate parameters from spec ranges below.
| Parameter | Spec Range | Unit |
|---|---|---|
| biprism_voltage | -2.4 – 3.6 | V |
| fringe_spacing | -0.12 – 0.18 | nm |
| partial_coherence | -6.0 – 9.0 | % |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | SwinHolo + gradient | 0.742 | 30.87 | 0.929 | 0.81 | ✓ Certified | Wang et al., Ultramicroscopy 2023 |
| 2 | DiffHolo + gradient | 0.730 | 30.21 | 0.92 | 0.8 | ✓ Certified | Gao et al., NeurIPS 2024 |
| 3 | TransHolo + gradient | 0.718 | 29.09 | 0.902 | 0.83 | ✓ Certified | Li et al., Nat. Commun. 2022 |
| 4 | PhysHolo + gradient | 0.704 | 28.67 | 0.894 | 0.8 | ✓ Certified | Chen et al., Nat. Commun. 2024 |
| 5 | DeepHolo + gradient | 0.661 | 25.56 | 0.819 | 0.89 | ✓ Certified | Rivenson et al., Optica 2018 |
| 6 | DnCNN-Holo + gradient | 0.603 | 23.58 | 0.753 | 0.83 | ✓ Certified | Gao et al., Ultramicroscopy 2019 |
| 7 | WDD-Holo + gradient | 0.504 | 19.75 | 0.587 | 0.86 | ✓ Certified | Lichte, Ultramicroscopy 1986 |
| 8 | TV-Phase + gradient | 0.501 | 19.97 | 0.597 | 0.81 | ✓ Certified | Beleggia et al., Ultramicroscopy 2004 |
| 9 | FFT-Holo + gradient | 0.440 | 17.54 | 0.477 | 0.87 | ✓ Certified | Lehmann & Lichte, Microsc. Microanal. 2002 |
Visible Data Fields
y
H_ideal
spec_ranges
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%