Hidden

DNA-PAINT Super-Resolution — 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
binding_on_rate	-0.28 – 0.92	relative
imager_strand_concentration	2.9 – 11.9	nM
drift_rate	-0.42 – 1.38	nm/frame
background_from_non_specific_binding	-1.4 – 4.6	-

#	Method	Score	PSNR	SSIM	Consistency	Trust	Source
1	DiffPAINT + gradient	0.738	31.0	0.931	0.78	✓ Certified	Gao et al., NeurIPS 2024
2	PhysSTORM + gradient	0.728	30.45	0.923	0.77	✓ Certified	Chen et al., Nat. Commun. 2024
3	SwinSTORM + gradient	0.720	29.84	0.914	0.78	✓ Certified	Wang et al., Bioinformatics 2023
4	TransPAINT + gradient	0.618	24.51	0.786	0.79	✓ Certified	Li et al., Nat. Methods 2022
5	DAOSTORM + gradient	0.554	21.78	0.68	0.82	✓ Certified	Holden et al., Nat. Methods 2011
6	PALM + gradient	0.516	20.58	0.626	0.8	✓ Certified	Betzig et al., Science 2006
7	DECODE + gradient	0.465	18.63	0.531	0.83	✓ Certified	Speiser et al., Nat. Methods 2021
8	DeepSTORM + gradient	0.416	16.73	0.437	0.87	✓ Certified	Nehme et al., Optica 2018
9	STORM-2D + gradient	0.395	16.64	0.432	0.78	✓ Certified	Rust et al., Nat. Methods 2006

Scenes: 5

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

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