Public

Atom Probe Tomography (APT) — 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
flight_path_error -0.1 – 0.2 0.05 mm
voltage_calibration 0.996 – 1.008 1.002 -
detection_efficiency 0.58 – 0.64 0.61 -
tip_radius_error -1.0 – 2.0 0.5 nm

InverseNet Baseline Scores

Method: CPU_baseline — Mismatch parameter: nominal

Scenario I (Ideal)

33.04 dB

SSIM 0.8313

Scenario II (Mismatch)

21.66 dB

SSIM 0.3376

Scenario III (Oracle)

22.75 dB

SSIM 0.4197

Per-scene breakdown (4 scenes)
Scene PSNR I SSIM I PSNR II SSIM II PSNR III SSIM III
scene_00 32.90 0.8330 21.36 0.3538 22.69 0.4393
scene_01 32.93 0.8361 21.23 0.3703 22.66 0.4596
scene_02 33.03 0.8183 21.98 0.3053 22.85 0.3832
scene_03 33.32 0.8377 22.06 0.3211 22.79 0.3966

Public Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 DiffusionAPT + gradient 0.807 33.75 0.959 0.93 ✓ Certified Inspired by Chung et al., ICLR 2023 (score-based MRI)
2 EquivAPT + gradient 0.799 33.42 0.956 0.91 ✓ Certified Adapted from equivariant vision transformer for atomic imaging, 2025
3 APT-Former + gradient 0.759 30.67 0.926 0.91 ✓ Certified Moody et al., Microsc. Microanal. 30(2):341, 2024
4 TrajectoryPINN + gradient 0.726 28.88 0.898 0.89 ✓ Certified De Geuser & Gault, Annu. Rev. Mater. Res. 52:1, 2022
5 LISTA-APT + gradient 0.694 27.23 0.864 0.88 ✓ Certified Gregor & LeCun, ICML 2010; adapted for APT 2020
6 ResNet-ArtefactCorr + gradient 0.682 26.77 0.852 0.87 ✓ Certified Wei et al., Ultramicroscopy 206:112817, 2019
7 PnP-BM3D (APT) + gradient 0.624 24.1 0.772 0.87 ✓ Certified Danielyan et al., IEEE TIP 21(9):3884, 2012
8 Tikhonov-Trajectory + gradient 0.547 21.02 0.647 0.89 ✓ Certified Geiser et al., Microsc. Microanal. 13(6):437, 2007
9 Bas-Protocol + gradient 0.514 19.67 0.583 0.92 ✓ Certified Bas et al., Appl. Surf. Sci. 87-88:298, 1995

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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