Public
PALM/STORM — Public Tier
(5 scenes)Full-access development tier with all data visible.
What you get
Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.
How to use
Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.
What to submit
Reconstructed signals (x_hat) and corrected spec as HDF5.
Parameter Specifications
✓
True spec visible — use these exact values for Scenario III oracle reconstruction.
| Parameter | Spec Range | True Value | Unit |
|---|---|---|---|
| psf_model | -5.0 – 10.0 | 2.5 | GaussianvsAiry |
| emitter_density | -20.0 – 40.0 | 10.0 | % |
| drift | -0.5 – 1.0 | 0.25 | nm/frame |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
9.86 dB
SSIM 0.1684
Scenario II (Mismatch)
9.89 dB
SSIM 0.1626
Scenario III (Oracle)
13.03 dB
SSIM 0.3455
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 11.37 | 0.1703 | 11.55 | 0.1716 | 14.78 | 0.3748 |
| scene_01 | 11.35 | 0.2400 | 11.40 | 0.2326 | 14.49 | 0.4899 |
| scene_02 | 8.13 | 0.1298 | 8.02 | 0.1186 | 11.08 | 0.2512 |
| scene_03 | 8.57 | 0.1336 | 8.60 | 0.1278 | 11.76 | 0.2659 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DECODE + gradient | 0.741 | 30.01 | 0.917 | 0.87 | ✓ Certified | Speiser et al., Nat. Methods 2021 |
| 2 | Deep-STORM + gradient | 0.737 | 29.17 | 0.903 | 0.92 | ✓ Certified | Nehme et al., Optica 2018 |
| 3 | FALCON + gradient | 0.641 | 24.21 | 0.776 | 0.94 | ✓ Certified | Min et al., Sci. Rep. 2014 |
| 4 | ThunderSTORM + gradient | 0.522 | 20.24 | 0.61 | 0.88 | ✓ Certified | Ovesny et al., Bioinformatics 2014 |
Visible Data Fields
y
H_ideal
spec_ranges
x_true
true_spec
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%