Hidden
DESI Mass Spectrometry Imaging — 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 |
|---|---|---|
| spray_angle_error | -0.7 – 2.3 | deg |
| solvent_flow_variation | -2.1 – 6.9 | - |
| ion_suppression_(matrix_effect) | -7.0 – 23.0 | - |
| spatial_resolution_degradation | -7.0 – 23.0 | - |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | MSIFormer + gradient | 0.744 | 30.72 | 0.927 | 0.83 | ✓ Certified | Kalinichenko et al., Nat. Methods 2023 |
| 2 | DiffusionMSI + gradient | 0.723 | 30.4 | 0.923 | 0.75 | ✓ Certified | Palmer et al., Nat. Methods 2024 |
| 3 | MSI-GAN + gradient | 0.656 | 25.97 | 0.831 | 0.82 | ✓ Certified | Yang et al., Anal. Chem. 2021 |
| 4 | MSI-NMF + gradient | 0.548 | 21.83 | 0.683 | 0.78 | ✓ Certified | Blanco et al., Anal. Chem. 2013 |
| 5 | MSI-PCA + gradient | 0.542 | 21.2 | 0.655 | 0.84 | ✓ Certified | Alexandrov et al., J. Bioinform. Comput. Biol. 2010 |
| 6 | DeepMSI + gradient | 0.535 | 21.03 | 0.647 | 0.83 | ✓ Certified | Gruber et al., Anal. Chem. 2021 |
| 7 | SpaMSI-Net + gradient | 0.528 | 21.33 | 0.661 | 0.75 | ✓ Certified | Rappez et al., Nat. Methods 2021 |
| 8 | MSI-TV + gradient | 0.523 | 20.34 | 0.615 | 0.87 | ✓ Certified | Fonville et al., Bioinformatics 2012 |
| 9 | MSI-Hotelling + gradient | 0.438 | 17.59 | 0.48 | 0.85 | ✓ Certified | Deininger et al., Proteomics 2011 |
Dataset
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%