Hidden
Confocal Live-Cell — 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 |
|---|---|---|
| pinhole | -3.5 – 11.5 | μm |
| refractive_index | 1.5115 – 1.5265 | |
| photobleaching | -3.5 – 11.5 | % |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DiffusionCell + gradient | 0.694 | 28.42 | 0.889 | 0.77 | ✓ Certified | Gao et al., Nat. Methods 2024 |
| 2 | Restormer-Micro + gradient | 0.678 | 26.52 | 0.846 | 0.87 | ✓ Certified | Zamir et al., CVPR 2022 (microscopy) |
| 3 | SwinIR-LiveCell + gradient | 0.669 | 26.67 | 0.85 | 0.81 | ✓ Certified | Liang et al., ICCV 2021 (live-cell) |
| 4 | Noise2Void + gradient | 0.575 | 22.26 | 0.701 | 0.86 | ✓ Certified | Krull et al., CVPR 2019 |
| 5 | PN2V + gradient | 0.574 | 22.67 | 0.718 | 0.8 | ✓ Certified | Krull et al., ECCV 2020 |
| 6 | CARE + gradient | 0.547 | 21.55 | 0.67 | 0.82 | ✓ Certified | Weigert et al., Nat. Methods 2018 |
| 7 | NLM-Fluorescence + gradient | 0.545 | 21.02 | 0.647 | 0.88 | ✓ Certified | Buades et al., CVPR 2005 |
| 8 | Noise2Self + gradient | 0.486 | 19.4 | 0.57 | 0.82 | ✓ Certified | Batson & Royer, ICML 2019 |
| 9 | VST-Denoise + gradient | 0.478 | 19.34 | 0.567 | 0.79 | ✓ Certified | Anscombe, Biometrika 1948 |
Dataset
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%