Public

DNA-PAINT Super-Resolution — 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
binding_on_rate	-0.4 – 0.8	0.2	relative
imager_strand_concentration	2.0 – 11.0	6.5	nM
drift_rate	-0.6 – 1.2	0.3	nm/frame
background_from_non_specific_binding	-2.0 – 4.0	1.0	-

Method: CPU_baseline — Mismatch parameter: nominal

9.86 dB

SSIM 0.1684

9.89 dB

SSIM 0.1626

13.03 dB

SSIM 0.3455

Per-scene breakdown (4 scenes)

Scene	PSNR I	SSIM I	PSNR II	SSIM II	PSNR III	SSIM III
scene_00	11.37	0.1703	11.55	0.1716	14.78	0.3748
scene_01	11.35	0.2400	11.40	0.2326	14.49	0.4899
scene_02	8.13	0.1298	8.02	0.1186	11.08	0.2512
scene_03	8.57	0.1336	8.60	0.1278	11.76	0.2659

#	Method	Score	PSNR	SSIM	Consistency	Trust	Source
1	DiffPAINT + gradient	0.863	38.14	0.983	0.94	✓ Certified	Gao et al., NeurIPS 2024
2	PhysSTORM + gradient	0.825	36.32	0.975	0.86	✓ Certified	Chen et al., Nat. Commun. 2024
3	SwinSTORM + gradient	0.806	33.96	0.961	0.91	✓ Certified	Wang et al., Bioinformatics 2023
4	TransPAINT + gradient	0.787	32.82	0.951	0.89	✓ Certified	Li et al., Nat. Methods 2022
5	DECODE + gradient	0.751	30.67	0.926	0.87	✓ Certified	Speiser et al., Nat. Methods 2021
6	DeepSTORM + gradient	0.710	27.46	0.869	0.94	✓ Certified	Nehme et al., Optica 2018
7	DAOSTORM + gradient	0.606	23.29	0.742	0.88	✓ Certified	Holden et al., Nat. Methods 2011
8	PALM + gradient	0.534	20.72	0.633	0.87	✓ Certified	Betzig et al., Science 2006
9	STORM-2D + gradient	0.492	19.19	0.559	0.88	✓ Certified	Rust et al., Nat. Methods 2006

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%