Dev
Dark-Field Microscopy — Dev Tier
(5 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 |
|---|---|---|
| condenser_na_vs_objective_na_ratio | 1.128 – 1.308 | - |
| stray_light | -1.2 – 1.8 | relative |
| scattering_angle_range | -0.15 – 0.15 | - |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | Restormer-DF + gradient | 0.770 | 32.94 | 0.952 | 0.8 | ✓ Certified | Zamir et al., CVPR 2022 (DF) |
| 2 | DiffusionDF + gradient | 0.760 | 32.24 | 0.945 | 0.8 | ✓ Certified | Luo et al., arXiv 2023 (DF) |
| 3 | SwinIR-DF + gradient | 0.760 | 30.97 | 0.93 | 0.89 | ✓ Certified | Liang et al., ICCV 2021 (DF) |
| 4 | BM3D-DF + gradient | 0.739 | 30.27 | 0.921 | 0.84 | ✓ Certified | Dabov et al., IEEE TIP 2007 (DF adapt.) |
| 5 | Noise2Void-DF + gradient | 0.650 | 25.58 | 0.82 | 0.83 | ✓ Certified | Krull et al., CVPR 2019 (DF) |
| 6 | Wiener-DF + gradient | 0.640 | 24.62 | 0.79 | 0.89 | ✓ Certified | Wiener, 1949 (DF adapt.) |
| 7 | CARE-DF + gradient | 0.639 | 25.2 | 0.808 | 0.82 | ✓ Certified | Weigert et al., Nat. Methods 2018 (DF) |
| 8 | Richardson-Lucy + gradient | 0.568 | 21.94 | 0.687 | 0.87 | ✓ Certified | Richardson, JOSA 1972; Lucy, AJ 1974 |
| 9 | TV-DF + gradient | 0.513 | 20.17 | 0.607 | 0.84 | ✓ Certified | Rudin et al., Physica D 1992 (DF) |
Visible Data Fields
y
H_ideal
spec_ranges
Dataset
Format: HDF5
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%