Hidden
FLIM — 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 |
|---|---|---|
| irf_width | -14.0 – 46.0 | ps |
| time_bin | -3.5 – 11.5 | ps |
| afterpulsing | -0.0035 – 0.0115 |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | SwinFLIM + gradient | 0.741 | 31.31 | 0.935 | 0.77 | ✓ Certified | Zhang et al., Biomed. Opt. Express 2023 |
| 2 | PhysFLIM + gradient | 0.703 | 29.04 | 0.901 | 0.76 | ✓ Certified | Chen et al., Nat. Photonics 2024 |
| 3 | DiffFLIM + gradient | 0.685 | 27.71 | 0.875 | 0.79 | ✓ Certified | Gao et al., NeurIPS 2024 |
| 4 | RLD-FLIM + gradient | 0.635 | 25.2 | 0.808 | 0.8 | ✓ Certified | Ballew & Demas, Anal. Chem. 1989 |
| 5 | TransFLIM + gradient | 0.634 | 24.79 | 0.795 | 0.84 | ✓ Certified | Wang et al., Nat. Methods 2022 |
| 6 | FLIMJ + gradient | 0.614 | 23.76 | 0.76 | 0.86 | ✓ Certified | Li et al., Nat. Methods 2022 |
| 7 | DnCNN-FLIM + gradient | 0.473 | 19.25 | 0.562 | 0.78 | ✓ Certified | Smith et al., Nat. Methods 2019 |
| 8 | Phasor-FLIM + gradient | 0.450 | 18.41 | 0.52 | 0.79 | ✓ Certified | Digman et al., Biophys. J. 2008 |
| 9 | MLE-FLIM + gradient | 0.309 | 13.8 | 0.302 | 0.75 | ✓ Certified | Grinvald & Steinberg, Anal. Biochem. 1974 |
Dataset
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%