Hidden
Ptychography — Hidden Tier
(5 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 |
|---|---|---|
| probe_error | -3.5 – 11.5 | % |
| position_error | -7.0 – 23.0 | nm |
| partial_coherence | -3.5 – 11.5 | nm |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | sDR + gradient | 0.616 | 24.67 | 0.792 | 0.76 | ✓ Certified | Wen et al., J. Opt. 2019 |
| 2 | AutoPhaseNN + gradient | 0.590 | 23.12 | 0.736 | 0.82 | ✓ Certified | Chan et al., Commun. Phys. 2024 |
| 3 | ePIE + gradient | 0.562 | 22.36 | 0.705 | 0.78 | ✓ Certified | Maiden & Rodenburg, Ultramicroscopy 2009 |
| 4 | PtychoNN + gradient | 0.536 | 21.06 | 0.648 | 0.83 | ✓ Certified | Cherukara et al., Appl. Phys. Lett. 2020 |
Dataset
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%