Dev

DNA-PAINT Super-Resolution — Dev Tier

(5 scenes)

Blind evaluation tier — no ground truth available.

Measurements (y), ideal forward operator (H), and spec ranges only.

Apply your pipeline from the Public tier. Use consistency as self-check.

Reconstructed signals and corrected spec. Scored server-side.

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True spec hidden — estimate parameters from spec ranges below.

Parameter	Spec Range	Unit
binding_on_rate	-0.48 – 0.72	relative
imager_strand_concentration	1.4 – 10.4	nM
drift_rate	-0.72 – 1.08	nm/frame
background_from_non_specific_binding	-2.4 – 3.6	-

#	Method	Score	PSNR	SSIM	Consistency	Trust	Source
1	DiffPAINT + gradient	0.782	32.48	0.948	0.89	✓ Certified	Gao et al., NeurIPS 2024
2	PhysSTORM + gradient	0.778	32.91	0.952	0.84	✓ Certified	Chen et al., Nat. Commun. 2024
3	SwinSTORM + gradient	0.773	32.46	0.947	0.85	✓ Certified	Wang et al., Bioinformatics 2023
4	TransPAINT + gradient	0.695	28.06	0.882	0.81	✓ Certified	Li et al., Nat. Methods 2022
5	DECODE + gradient	0.580	22.3	0.703	0.88	✓ Certified	Speiser et al., Nat. Methods 2021
6	DAOSTORM + gradient	0.574	21.94	0.687	0.9	✓ Certified	Holden et al., Nat. Methods 2011
7	PALM + gradient	0.526	20.23	0.61	0.9	✓ Certified	Betzig et al., Science 2006
8	DeepSTORM + gradient	0.475	19.17	0.558	0.8	✓ Certified	Nehme et al., Optica 2018
9	STORM-2D + gradient	0.437	17.84	0.492	0.81	✓ Certified	Rust et al., Nat. Methods 2006

y H_ideal spec_ranges

Format: HDF5

Scenes: 5

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

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