Dev
Optical Diffraction Tomography (ODT) — 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 |
|---|---|---|
| illumination_angle_error | -0.48 – 0.72 | degperangle |
| missing_cone_artifact | 25.2 – 37.2 | deg |
| refractive_index_of_medium | 1.33388 – 1.34168 | - |
| multiple_scattering | -2.4 – 3.6 | - |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | Rytov-Former + gradient | 0.710 | 28.21 | 0.885 | 0.87 | ✓ Certified | ODT reconstruction transformer, 2024 |
| 2 | ODT-Net + gradient | 0.650 | 25.07 | 0.804 | 0.89 | ✓ Certified | Zhou et al., Light: S&A 2023 |
| 3 | Born-ADMM + gradient | 0.612 | 23.51 | 0.751 | 0.88 | ✓ Certified | Lim et al., Phys. Rev. Lett. 2015 |
| 4 | Wolf FBP + gradient | 0.537 | 21.3 | 0.659 | 0.8 | ✓ Certified | Wolf, Opt. Commun. 1969 |
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%