Public
Confocal Live-Cell — Public Tier
(5 scenes)Full-access development tier with all data visible.
What you get
Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.
How to use
Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.
What to submit
Reconstructed signals (x_hat) and corrected spec as HDF5.
Parameter Specifications
✓
True spec visible — use these exact values for Scenario III oracle reconstruction.
| Parameter | Spec Range | True Value | Unit |
|---|---|---|---|
| pinhole | -5.0 – 10.0 | 2.5 | μm |
| refractive_index | 1.51 – 1.525 | 1.5175 | |
| photobleaching | -5.0 – 10.0 | 2.5 | % |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
13.27 dB
SSIM 0.3991
Scenario II (Mismatch)
11.88 dB
SSIM 0.2385
Scenario III (Oracle)
19.75 dB
SSIM 0.4579
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 17.02 | 0.3838 | 14.94 | 0.2440 | 20.04 | 0.5013 |
| scene_01 | 14.23 | 0.2969 | 12.92 | 0.2098 | 19.23 | 0.5480 |
| scene_02 | 8.52 | 0.3871 | 8.01 | 0.2308 | 20.11 | 0.3417 |
| scene_03 | 13.30 | 0.5284 | 11.66 | 0.2694 | 19.61 | 0.4408 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DiffusionCell + gradient | 0.857 | 37.54 | 0.98 | 0.95 | ✓ Certified | Gao et al., Nat. Methods 2024 |
| 2 | Restormer-Micro + gradient | 0.841 | 36.47 | 0.976 | 0.93 | ✓ Certified | Zamir et al., CVPR 2022 (microscopy) |
| 3 | SwinIR-LiveCell + gradient | 0.824 | 35.19 | 0.969 | 0.92 | ✓ Certified | Liang et al., ICCV 2021 (live-cell) |
| 4 | PN2V + gradient | 0.775 | 31.29 | 0.935 | 0.94 | ✓ Certified | Krull et al., ECCV 2020 |
| 5 | CARE + gradient | 0.759 | 30.62 | 0.926 | 0.91 | ✓ Certified | Weigert et al., Nat. Methods 2018 |
| 6 | Noise2Void + gradient | 0.738 | 29.81 | 0.914 | 0.87 | ✓ Certified | Krull et al., CVPR 2019 |
| 7 | Noise2Self + gradient | 0.707 | 27.61 | 0.872 | 0.91 | ✓ Certified | Batson & Royer, ICML 2019 |
| 8 | NLM-Fluorescence + gradient | 0.640 | 24.8 | 0.796 | 0.87 | ✓ Certified | Buades et al., CVPR 2005 |
| 9 | VST-Denoise + gradient | 0.603 | 22.71 | 0.72 | 0.94 | ✓ Certified | Anscombe, Biometrika 1948 |
Visible Data Fields
y
H_ideal
spec_ranges
x_true
true_spec
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%