Public

Cathodoluminescence (CL) Imaging — 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
beam_current_drift -1.0 – 2.0 0.5 -
collection_efficiency_variation -4.0 – 8.0 2.0 spatial
spectral_calibration_error -0.4 – 0.8 0.2 nm
carbon_contamination -2.0 – 4.0 1.0 signalloss

InverseNet Baseline Scores

Method: CPU_baseline — Mismatch parameter: nominal

Scenario I (Ideal)

33.04 dB

SSIM 0.8313

Scenario II (Mismatch)

22.80 dB

SSIM 0.4030

Scenario III (Oracle)

24.56 dB

SSIM 0.4982

Per-scene breakdown (4 scenes)
Scene PSNR I SSIM I PSNR II SSIM II PSNR III SSIM III
scene_00 32.90 0.8330 22.40 0.4133 24.52 0.5154
scene_01 32.93 0.8361 22.59 0.4422 24.50 0.5349
scene_02 33.03 0.8183 23.28 0.3763 24.65 0.4644
scene_03 33.32 0.8377 22.94 0.3802 24.59 0.4779

Public Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 Restormer-CL + gradient 0.847 36.66 0.977 0.95 ✓ Certified Zamir et al., CVPR 2022 (CL adapted)
2 DiffusionEM + gradient 0.843 37.51 0.98 0.88 ✓ Certified Gao et al., Nat. Methods 2024 (EM adapted)
3 PINN-CL + gradient 0.828 35.09 0.968 0.95 ✓ Certified Raissi et al., J. Comput. Phys. 2019 (CL)
4 SwinIR-CL + gradient 0.810 34.79 0.966 0.88 ✓ Certified Liang et al., ICCV 2021 (CL adapted)
5 U-Net-CL + gradient 0.796 32.94 0.952 0.93 ✓ Certified Ronneberger et al., MICCAI 2015 (CL adapted)
6 CARE-CL + gradient 0.792 33.34 0.956 0.88 ✓ Certified Weigert et al., Nat. Methods 2018 (CL adapted)
7 DnCNN-CL + gradient 0.731 28.92 0.899 0.91 ✓ Certified Zhang et al., IEEE TIP 2017 (CL adapted)
8 Richardson-Lucy + gradient 0.680 25.95 0.831 0.94 ✓ Certified Richardson, J. Opt. Soc. Am. 1972
9 Wiener-CL + gradient 0.593 22.73 0.72 0.89 ✓ Certified Castleman, Digital Image Processing, 1996

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%
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