Hidden

Three-Photon Microscopy — Hidden Tier

(5 scenes)

Fully blind server-side evaluation — no data download.

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

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

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

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True spec hidden — blind evaluation, only ranges available.

Parameter	Spec Range	Unit
scattering_coeff	11.5 – 26.5	mm^-1
excitation_wavelength_shift	-1.4 – 4.6	nm
depth_dependent_psf	-0.28 – 0.92	-

#	Method	Score	PSNR	SSIM	Consistency	Trust	Source
1	ScoreMicro + gradient	0.746	31.24	0.934	0.8	✓ Certified	Wei et al., ECCV 2025
2	DeconvFormer + gradient	0.713	29.78	0.913	0.75	✓ Certified	Chen et al., CVPR 2024
3	ResUNet + gradient	0.705	28.69	0.895	0.8	✓ Certified	DeCelle et al., Nat. Methods 2021
4	DiffDeconv + gradient	0.677	27.49	0.87	0.77	✓ Certified	Huang et al., NeurIPS 2024
5	Restormer+ + gradient	0.671	26.98	0.858	0.79	✓ Certified	Zamir et al., ICCV 2024
6	Restormer + gradient	0.663	27.01	0.858	0.75	✓ Certified	Zamir et al., CVPR 2022
7	CARE + gradient	0.658	26.64	0.849	0.76	✓ Certified	Weigert et al., Nat. Methods 2018
8	PnP-DnCNN + gradient	0.627	24.66	0.791	0.82	✓ Certified	Zhang et al., IEEE TIP 2017
9	Wiener Filter + gradient	0.625	24.85	0.797	0.79	✓ Certified	Analytical baseline
10	U-Net + gradient	0.623	25.0	0.802	0.76	✓ Certified	Ronneberger et al., MICCAI 2015
11	TV-Deconvolution + gradient	0.623	24.32	0.78	0.84	✓ Certified	Rudin et al., Phys. A 1992
12	Richardson-Lucy + gradient	0.581	22.7	0.719	0.83	✓ Certified	Richardson, JOSA 1972 / Lucy, AJ 1974
13	PnP-FISTA + gradient	0.525	20.47	0.621	0.86	✓ Certified	Bai et al., 2020

Scenes: 5

0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)

PSNR: 40% SSIM: 40% Consistency: 20%