Dev
Ptychography — 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 |
|---|---|---|
| probe_error | -6.0 – 9.0 | % |
| position_error | -12.0 – 18.0 | nm |
| partial_coherence | -6.0 – 9.0 | nm |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | sDR + gradient | 0.666 | 26.35 | 0.842 | 0.83 | ✓ Certified | Wen et al., J. Opt. 2019 |
| 2 | PtychoNN + gradient | 0.648 | 25.43 | 0.815 | 0.84 | ✓ Certified | Cherukara et al., Appl. Phys. Lett. 2020 |
| 3 | AutoPhaseNN + gradient | 0.637 | 24.65 | 0.791 | 0.87 | ✓ Certified | Chan et al., Commun. Phys. 2024 |
| 4 | ePIE + gradient | 0.606 | 23.54 | 0.752 | 0.85 | ✓ Certified | Maiden & Rodenburg, Ultramicroscopy 2009 |
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%