Dev
PALM/STORM — 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 |
|---|---|---|
| psf_model | -6.0 – 9.0 | GaussianvsAiry |
| emitter_density | -24.0 – 36.0 | % |
| drift | -0.6 – 0.9 | nm/frame |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DECODE + gradient | 0.672 | 26.52 | 0.846 | 0.84 | ✓ Certified | Speiser et al., Nat. Methods 2021 |
| 2 | Deep-STORM + gradient | 0.545 | 21.6 | 0.673 | 0.8 | ✓ Certified | Nehme et al., Optica 2018 |
| 3 | FALCON + gradient | 0.506 | 19.82 | 0.59 | 0.86 | ✓ Certified | Min et al., Sci. Rep. 2014 |
| 4 | ThunderSTORM + gradient | 0.451 | 17.9 | 0.495 | 0.87 | ✓ Certified | Ovesny et al., Bioinformatics 2014 |
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%