Hidden

Spinning Disk Confocal 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
pinhole_crosstalk	-2.1 – 6.9	-
disk_rotation_wobble	-0.14 – 0.46	px
illumination_non_uniformity	-1.4 – 4.6	-

#	Method	Score	PSNR	SSIM	Consistency	Trust	Source
1	DeconvFormer + gradient	0.734	30.59	0.925	0.79	✓ Certified	Chen et al., CVPR 2024
2	Restormer+ + gradient	0.727	29.39	0.907	0.85	✓ Certified	Zamir et al., ICCV 2024
3	ScoreMicro + gradient	0.689	28.25	0.886	0.76	✓ Certified	Wei et al., ECCV 2025
4	ResUNet + gradient	0.680	26.85	0.854	0.85	✓ Certified	DeCelle et al., Nat. Methods 2021
5	Restormer + gradient	0.644	25.15	0.807	0.85	✓ Certified	Zamir et al., CVPR 2022
6	DiffDeconv + gradient	0.636	24.6	0.789	0.87	✓ Certified	Huang et al., NeurIPS 2024
7	U-Net + gradient	0.618	23.93	0.766	0.86	✓ Certified	Ronneberger et al., MICCAI 2015
8	CARE + gradient	0.601	23.81	0.762	0.79	✓ Certified	Weigert et al., Nat. Methods 2018
9	Wiener Filter + gradient	0.600	23.38	0.746	0.84	✓ Certified	Analytical baseline
10	TV-Deconvolution + gradient	0.599	24.06	0.771	0.75	✓ Certified	Rudin et al., Phys. A 1992
11	PnP-FISTA + gradient	0.592	22.91	0.728	0.86	✓ Certified	Bai et al., 2020
12	PnP-DnCNN + gradient	0.571	22.12	0.695	0.86	✓ Certified	Zhang et al., IEEE TIP 2017
13	Richardson-Lucy + gradient	0.562	22.6	0.715	0.75	✓ Certified	Richardson, JOSA 1972 / Lucy, AJ 1974

Scenes: 5

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

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