Dev
Spinning Disk Confocal Microscopy — 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 |
|---|---|---|
| pinhole_crosstalk | -3.6 – 5.4 | - |
| disk_rotation_wobble | -0.24 – 0.36 | px |
| illumination_non_uniformity | -2.4 – 3.6 | - |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | Restormer+ + gradient | 0.778 | 32.51 | 0.948 | 0.87 | ✓ Certified | Zamir et al., ICCV 2024 |
| 2 | DeconvFormer + gradient | 0.773 | 31.88 | 0.941 | 0.89 | ✓ Certified | Chen et al., CVPR 2024 |
| 3 | Restormer + gradient | 0.727 | 28.91 | 0.899 | 0.89 | ✓ Certified | Zamir et al., CVPR 2022 |
| 4 | ScoreMicro + gradient | 0.725 | 29.17 | 0.903 | 0.86 | ✓ Certified | Wei et al., ECCV 2025 |
| 5 | ResUNet + gradient | 0.722 | 29.33 | 0.906 | 0.83 | ✓ Certified | DeCelle et al., Nat. Methods 2021 |
| 6 | U-Net + gradient | 0.672 | 26.26 | 0.839 | 0.87 | ✓ Certified | Ronneberger et al., MICCAI 2015 |
| 7 | DiffDeconv + gradient | 0.670 | 26.33 | 0.841 | 0.85 | ✓ Certified | Huang et al., NeurIPS 2024 |
| 8 | CARE + gradient | 0.664 | 25.6 | 0.821 | 0.9 | ✓ Certified | Weigert et al., Nat. Methods 2018 |
| 9 | PnP-FISTA + gradient | 0.649 | 25.54 | 0.819 | 0.83 | ✓ Certified | Bai et al., 2020 |
| 10 | PnP-DnCNN + gradient | 0.648 | 25.68 | 0.823 | 0.81 | ✓ Certified | Zhang et al., IEEE TIP 2017 |
| 11 | TV-Deconvolution + gradient | 0.643 | 24.93 | 0.8 | 0.87 | ✓ Certified | Rudin et al., Phys. A 1992 |
| 12 | Wiener Filter + gradient | 0.638 | 24.63 | 0.79 | 0.88 | ✓ Certified | Analytical baseline |
| 13 | Richardson-Lucy + gradient | 0.623 | 24.42 | 0.783 | 0.83 | ✓ Certified | Richardson, JOSA 1972 / Lucy, AJ 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%