Public

Spinning Disk Confocal Microscopy — Public Tier

(5 scenes)

Full-access development tier with all data visible.

Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.

Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.

Reconstructed signals (x_hat) and corrected spec as HDF5.

✓

True spec visible — use these exact values for Scenario III oracle reconstruction.

Parameter	Spec Range	True Value	Unit
pinhole_crosstalk	-3.0 – 6.0	1.5	-
disk_rotation_wobble	-0.2 – 0.4	0.1	px
illumination_non_uniformity	-2.0 – 4.0	1.0	-

Method: CPU_baseline — Mismatch parameter: nominal

13.27 dB

SSIM 0.3991

11.88 dB

SSIM 0.2385

19.75 dB

SSIM 0.4579

Per-scene breakdown (4 scenes)

Scene	PSNR I	SSIM I	PSNR II	SSIM II	PSNR III	SSIM III
scene_00	17.02	0.3838	14.94	0.2440	20.04	0.5013
scene_01	14.23	0.2969	12.92	0.2098	19.23	0.5480
scene_02	8.52	0.3871	8.01	0.2308	20.11	0.3417
scene_03	13.30	0.5284	11.66	0.2694	19.61	0.4408

#	Method	Score	PSNR	SSIM	Consistency	Trust	Source
1	DeconvFormer + gradient	0.834	35.89	0.973	0.93	✓ Certified	Chen et al., CVPR 2024
2	ScoreMicro + gradient	0.828	36.04	0.974	0.89	✓ Certified	Wei et al., ECCV 2025
3	DiffDeconv + gradient	0.823	35.65	0.972	0.89	✓ Certified	Huang et al., NeurIPS 2024
4	Restormer+ + gradient	0.817	35.02	0.968	0.9	✓ Certified	Zamir et al., ICCV 2024
5	Restormer + gradient	0.815	34.04	0.961	0.95	✓ Certified	Zamir et al., CVPR 2022
6	CARE + gradient	0.799	32.84	0.951	0.95	✓ Certified	Weigert et al., Nat. Methods 2018
7	ResUNet + gradient	0.793	33.12	0.954	0.9	✓ Certified	DeCelle et al., Nat. Methods 2021
8	U-Net + gradient	0.787	33.31	0.955	0.86	✓ Certified	Ronneberger et al., MICCAI 2015
9	TV-Deconvolution + gradient	0.723	28.36	0.888	0.92	✓ Certified	Rudin et al., Phys. A 1992
10	PnP-DnCNN + gradient	0.720	28.3	0.887	0.91	✓ Certified	Zhang et al., IEEE TIP 2017
11	PnP-FISTA + gradient	0.715	28.48	0.891	0.87	✓ Certified	Bai et al., 2020
12	Richardson-Lucy + gradient	0.675	25.82	0.827	0.93	✓ Certified	Richardson, JOSA 1972 / Lucy, AJ 1974
13	Wiener Filter + gradient	0.672	26.15	0.836	0.88	✓ Certified	Analytical baseline

y H_ideal spec_ranges x_true true_spec

Format: HDF5

Scenes: 5

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

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