Dev
MINFLUX Nanoscopy — 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 |
|---|---|---|
| beam_center_error | -1.2 – 1.8 | nm |
| photon_count | 140.0 – 1040.0 | photons |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | MLE Localization + gradient | 0.658 | 25.75 | 0.825 | 0.85 | ✓ Certified | Balzarotti et al., Science 2017 |
| 2 | ANNA-PALM + gradient | 0.642 | 24.95 | 0.801 | 0.86 | ✓ Certified | Ouyang et al., Nat. Biotechnol. 2018 |
| 3 | DECODE + gradient | 0.631 | 24.99 | 0.802 | 0.8 | ✓ Certified | Speiser et al., Nat. Methods 2021 |
| 4 | SPARCOM + gradient | 0.620 | 24.69 | 0.792 | 0.78 | ✓ Certified | Solomon et al., SIAM J. Imaging Sci. 2019 |
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%