Public

Focused Ion Beam SEM (FIB-SEM) — Public Tier

(3 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
slice_thickness_variation -3.0 – 6.0 1.5 -
curtaining_artifact -0.06 – 0.12 0.03 relative
charging -60.0 – 120.0 30.0 V
drift_between_slices -1.0 – 2.0 0.5 nm

InverseNet Baseline Scores

Method: CPU_baseline — Mismatch parameter: nominal

Scenario I (Ideal)

19.81 dB

SSIM 0.4840

Scenario II (Mismatch)

17.32 dB

SSIM 0.1061

Scenario III (Oracle)

19.62 dB

SSIM 0.2167

Per-scene breakdown (4 scenes)
Scene PSNR I SSIM I PSNR II SSIM II PSNR III SSIM III
scene_00 19.40 0.4889 16.96 0.1087 19.66 0.2303
scene_01 20.39 0.4977 17.60 0.1075 19.60 0.2162
scene_02 20.11 0.4612 17.67 0.0963 20.09 0.2040
scene_03 19.34 0.4883 17.06 0.1120 19.15 0.2163

Public Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 DiffFIB + gradient 0.844 36.91 0.978 0.92 ✓ Certified Gao et al., NeurIPS 2024
2 SwinFIB + gradient 0.836 35.89 0.973 0.94 ✓ Certified Wang et al., Nat. Commun. 2023
3 PhysFIB + gradient 0.829 36.17 0.974 0.89 ✓ Certified Chen et al., Nat. Commun. 2024
4 TransFIB + gradient 0.796 33.38 0.956 0.9 ✓ Certified Li et al., Nat. Methods 2022
5 N2V-FIB + gradient 0.788 32.07 0.943 0.95 ✓ Certified Krull et al., NeurIPS 2019
6 DnCNN-FIB + gradient 0.735 29.4 0.907 0.89 ✓ Certified Buchholz et al., Nat. Methods 2019
7 TV-FIB + gradient 0.689 26.78 0.853 0.9 ✓ Certified Rudin et al., Physica D 1992
8 NLM-FIB + gradient 0.675 25.93 0.83 0.92 ✓ Certified Buades et al., CVPR 2005
9 BM3D-FIB + gradient 0.635 24.08 0.771 0.93 ✓ Certified Dabov et al., IEEE TIP 2007

Visible Data Fields

y H_ideal spec_ranges x_true true_spec

Dataset

Format: HDF5
Scenes: 3

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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