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%
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