Dev

Cathodoluminescence (CL) 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
beam_current_drift -1.2 – 1.8 -
collection_efficiency_variation -4.8 – 7.2 spatial
spectral_calibration_error -0.48 – 0.72 nm
carbon_contamination -2.4 – 3.6 signalloss

Dev Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 Restormer-CL + gradient 0.797 34.87 0.967 0.81 ✓ Certified Zamir et al., CVPR 2022 (CL adapted)
2 PINN-CL + gradient 0.745 30.62 0.926 0.84 ✓ Certified Raissi et al., J. Comput. Phys. 2019 (CL)
3 SwinIR-CL + gradient 0.729 29.4 0.907 0.86 ✓ Certified Liang et al., ICCV 2021 (CL adapted)
4 CARE-CL + gradient 0.714 28.76 0.896 0.84 ✓ Certified Weigert et al., Nat. Methods 2018 (CL adapted)
5 DiffusionEM + gradient 0.713 29.16 0.903 0.8 ✓ Certified Gao et al., Nat. Methods 2024 (EM adapted)
6 U-Net-CL + gradient 0.681 27.2 0.863 0.82 ✓ Certified Ronneberger et al., MICCAI 2015 (CL adapted)
7 Richardson-Lucy + gradient 0.642 24.77 0.795 0.88 ✓ Certified Richardson, J. Opt. Soc. Am. 1972
8 DnCNN-CL + gradient 0.635 24.41 0.783 0.89 ✓ Certified Zhang et al., IEEE TIP 2017 (CL adapted)
9 Wiener-CL + gradient 0.594 23.04 0.733 0.85 ✓ Certified Castleman, Digital Image Processing, 1996

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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