Dev

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

(3 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
slice_thickness_variation -3.6 – 5.4 -
curtaining_artifact -0.072 – 0.108 relative
charging -72.0 – 108.0 V
drift_between_slices -1.2 – 1.8 nm

Dev Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 PhysFIB + gradient 0.779 33.01 0.953 0.84 ✓ Certified Chen et al., Nat. Commun. 2024
2 SwinFIB + gradient 0.778 33.07 0.953 0.83 ✓ Certified Wang et al., Nat. Commun. 2023
3 DiffFIB + gradient 0.773 31.86 0.941 0.89 ✓ Certified Gao et al., NeurIPS 2024
4 TransFIB + gradient 0.749 31.15 0.933 0.82 ✓ Certified Li et al., Nat. Methods 2022
5 DnCNN-FIB + gradient 0.635 24.41 0.783 0.89 ✓ Certified Buchholz et al., Nat. Methods 2019
6 BM3D-FIB + gradient 0.622 24.19 0.775 0.85 ✓ Certified Dabov et al., IEEE TIP 2007
7 N2V-FIB + gradient 0.608 23.22 0.74 0.9 ✓ Certified Krull et al., NeurIPS 2019
8 NLM-FIB + gradient 0.590 23.32 0.743 0.8 ✓ Certified Buades et al., CVPR 2005
9 TV-FIB + gradient 0.576 22.31 0.703 0.86 ✓ Certified Rudin et al., Physica D 1992

Visible Data Fields

y H_ideal spec_ranges

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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