Dev
FLIM — 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 |
|---|---|---|
| irf_width | -24.0 – 36.0 | ps |
| time_bin | -6.0 – 9.0 | ps |
| afterpulsing | -0.006 – 0.009 |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | SwinFLIM + gradient | 0.775 | 33.16 | 0.954 | 0.81 | ✓ Certified | Zhang et al., Biomed. Opt. Express 2023 |
| 2 | PhysFLIM + gradient | 0.745 | 30.41 | 0.923 | 0.86 | ✓ Certified | Chen et al., Nat. Photonics 2024 |
| 3 | TransFLIM + gradient | 0.728 | 29.72 | 0.912 | 0.83 | ✓ Certified | Wang et al., Nat. Methods 2022 |
| 4 | DiffFLIM + gradient | 0.727 | 29.06 | 0.901 | 0.88 | ✓ Certified | Gao et al., NeurIPS 2024 |
| 5 | FLIMJ + gradient | 0.650 | 25.15 | 0.807 | 0.88 | ✓ Certified | Li et al., Nat. Methods 2022 |
| 6 | RLD-FLIM + gradient | 0.647 | 25.72 | 0.824 | 0.8 | ✓ Certified | Ballew & Demas, Anal. Chem. 1989 |
| 7 | DnCNN-FLIM + gradient | 0.570 | 22.35 | 0.705 | 0.82 | ✓ Certified | Smith et al., Nat. Methods 2019 |
| 8 | Phasor-FLIM + gradient | 0.481 | 19.37 | 0.568 | 0.8 | ✓ Certified | Digman et al., Biophys. J. 2008 |
| 9 | MLE-FLIM + gradient | 0.391 | 15.87 | 0.395 | 0.87 | ✓ Certified | Grinvald & Steinberg, Anal. Biochem. 1974 |
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%