Hidden

Brillouin 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
brillouin_shift_calibration	-7.0 – 23.0	MHz
vipa_fsr_error	-0.07 – 0.23	-
elastic_scattering_leakage	-13.8 – 4.2	-

#	Method	Score	PSNR	SSIM	Consistency	Trust	Source
1	SpectraFormer + gradient	0.777	32.42	0.947	0.87	✓ Certified	Chen et al., arXiv 2023
2	DiffusionSpectra + gradient	0.736	30.83	0.929	0.78	✓ Certified	Gao et al., Nat. Methods 2024
3	CDAE + gradient	0.699	28.17	0.884	0.82	✓ Certified	Zhang et al., Sensors 2024
4	PINN-Brillouin + gradient	0.692	28.21	0.885	0.78	✓ Certified	Raissi et al., J. Comput. Phys. 2019 (adapted)
5	U-Net-Spectral + gradient	0.664	26.43	0.844	0.81	✓ Certified	Ronneberger et al., MICCAI 2015 (spectral)
6	SG-Baseline + gradient	0.608	23.71	0.758	0.84	✓ Certified	Savitzky & Golay, Anal. Chem. 1964
7	Lorentzian-Fit + gradient	0.566	22.74	0.721	0.75	✓ Certified	Dil, Rep. Prog. Phys. 1982
8	DnCNN-Brillouin + gradient	0.530	21.42	0.665	0.75	✓ Certified	Zhang et al., IEEE TIP 2017 (adapted)
9	CNN-Spectra + gradient	0.473	18.83	0.541	0.84	✓ Certified	Remer & Bhatt, Biomed. Opt. Express 2020

Scenes: 5

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

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