Public

Electron Holography — 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
biprism_voltage -2.0 – 4.0 1.0 V
fringe_spacing -0.1 – 0.2 0.05 nm
partial_coherence -5.0 – 10.0 2.5 %

InverseNet Baseline Scores

Method: CPU_baseline — Mismatch parameter: nominal

Scenario I (Ideal)

19.81 dB

SSIM 0.4840

Scenario II (Mismatch)

17.13 dB

SSIM 0.0865

Scenario III (Oracle)

19.14 dB

SSIM 0.1862

Per-scene breakdown (4 scenes)
Scene PSNR I SSIM I PSNR II SSIM II PSNR III SSIM III
scene_00 19.40 0.4889 16.86 0.0892 19.02 0.1932
scene_01 20.39 0.4977 17.19 0.0846 19.00 0.1825
scene_02 20.11 0.4612 17.55 0.0813 19.72 0.1792
scene_03 19.34 0.4883 16.90 0.0911 18.84 0.1898

Public Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 PhysHolo + gradient 0.841 36.49 0.976 0.93 ✓ Certified Chen et al., Nat. Commun. 2024
2 DiffHolo + gradient 0.837 37.02 0.978 0.88 ✓ Certified Gao et al., NeurIPS 2024
3 SwinHolo + gradient 0.826 35.37 0.97 0.92 ✓ Certified Wang et al., Ultramicroscopy 2023
4 TransHolo + gradient 0.805 33.44 0.956 0.94 ✓ Certified Li et al., Nat. Commun. 2022
5 DeepHolo + gradient 0.768 30.99 0.931 0.93 ✓ Certified Rivenson et al., Optica 2018
6 DnCNN-Holo + gradient 0.727 28.57 0.892 0.92 ✓ Certified Gao et al., Ultramicroscopy 2019
7 TV-Phase + gradient 0.668 25.5 0.818 0.93 ✓ Certified Beleggia et al., Ultramicroscopy 2004
8 WDD-Holo + gradient 0.610 23.14 0.737 0.92 ✓ Certified Lichte, Ultramicroscopy 1986
9 FFT-Holo + gradient 0.534 20.28 0.612 0.93 ✓ Certified Lehmann & Lichte, Microsc. Microanal. 2002

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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