Hidden

Second Harmonic Generation (SHG) Microscopy — Hidden Tier

(5 scenes)

Fully blind server-side evaluation — no data download.

What you get

No data downloadable. Algorithm runs server-side on hidden measurements.

How to use

Package algorithm as Docker container / Python script. Submit via link.

What to submit

Containerized algorithm accepting y + H, outputting x_hat + corrected spec.

Parameter Specifications

🔒

True spec hidden — blind evaluation, only ranges available.

Parameter Spec Range Unit
phase_matching_error -0.7 – 2.3 -
excitation_power_fluctuation -1.4 – 4.6 -
collection_na_mismatch -0.014 – 0.046 -

Hidden Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 Restormer+ + gradient 0.762 32.31 0.946 0.8 ✓ Certified Zamir et al., ICCV 2024
2 ScoreMicro + gradient 0.711 29.02 0.901 0.8 ✓ Certified Wei et al., ECCV 2025
3 DeconvFormer + gradient 0.700 27.95 0.88 0.84 ✓ Certified Chen et al., CVPR 2024
4 ResUNet + gradient 0.670 27.46 0.869 0.74 ✓ Certified DeCelle et al., Nat. Methods 2021
5 PnP-DnCNN + gradient 0.662 26.34 0.841 0.81 ✓ Certified Zhang et al., IEEE TIP 2017
6 TV-Deconvolution + gradient 0.659 26.12 0.835 0.82 ✓ Certified Rudin et al., Phys. A 1992
7 Wiener Filter + gradient 0.643 25.45 0.816 0.81 ✓ Certified Analytical baseline
8 U-Net + gradient 0.637 25.36 0.813 0.79 ✓ Certified Ronneberger et al., MICCAI 2015
9 CARE + gradient 0.632 24.78 0.795 0.83 ✓ Certified Weigert et al., Nat. Methods 2018
10 Restormer + gradient 0.627 25.27 0.811 0.75 ✓ Certified Zamir et al., CVPR 2022
11 DiffDeconv + gradient 0.622 24.17 0.775 0.85 ✓ Certified Huang et al., NeurIPS 2024
12 PnP-FISTA + gradient 0.617 24.32 0.78 0.81 ✓ Certified Bai et al., 2020
13 Richardson-Lucy + gradient 0.544 21.94 0.687 0.75 ✓ Certified Richardson, JOSA 1972 / Lucy, AJ 1974

Dataset

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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