Dev

MALDI Mass Spectrometry Imaging — 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
laser_fluence_drift 0.952 – 1.072 -
mass_accuracy -1.2 – 1.8 ppm
extraction_delay 95.2 – 107.2 ns
matrix_crystallization 0.928 – 1.108 -

Dev Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 CalibFormer + gradient 0.733 29.98 0.917 0.83 ✓ Certified Transformer calibration, 2024
2 MassSpecFormer + gradient 0.610 24.1 0.772 0.8 ✓ Certified Mass spectrometry transformer, 2024
3 Peak Fitting + gradient 0.570 21.85 0.684 0.89 ✓ Certified Gaussian peak fitting
4 ResNet-Calib + gradient 0.550 21.79 0.681 0.8 ✓ Certified ResNet for calibration, 2022
5 PnP-NLM + gradient 0.539 21.32 0.66 0.81 ✓ Certified Non-local means filter
6 PnP-BM3D + gradient 0.530 20.55 0.625 0.87 ✓ Certified Danielyan et al., 2012
7 Calibration-Lookup + gradient 0.527 20.59 0.627 0.85 ✓ Certified Look-up table calibration
8 Deconv + gradient 0.525 20.97 0.644 0.79 ✓ Certified Analytical baseline
9 DiffusionInstrumentation + gradient 0.506 20.23 0.61 0.8 ✓ Certified Zhang et al., 2024
10 ScoreInstrumentation + gradient 0.491 19.51 0.575 0.83 ✓ Certified Wei et al., 2025
11 Instrument-CNN + gradient 0.489 19.52 0.575 0.82 ✓ Certified Instrument-specific CNN

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%
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