Public

Coherent Anti-Stokes Raman (CARS) Microscopy — Public Tier

(5 scenes)

Full-access development tier with all data visible.

What you get

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

How to use

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

What to submit

Reconstructed signals (x_hat) and corrected spec as HDF5.

Parameter Specifications

✓

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

Parameter Spec Range True Value Unit
pump_stokes_frequency_offset -1.0 – 2.0 0.5 cm^-1
non_resonant_background -10.0 – 20.0 5.0 -
chirp_mismatch -100.0 – 200.0 50.0 fs^2

InverseNet Baseline Scores

Method: CPU_baseline — Mismatch parameter: nominal

Scenario I (Ideal)

20.86 dB

SSIM 0.5556

Scenario II (Mismatch)

17.94 dB

SSIM 0.2739

Scenario III (Oracle)

21.09 dB

SSIM 0.4477

Per-scene breakdown (4 scenes)
Scene PSNR I SSIM I PSNR II SSIM II PSNR III SSIM III
scene_00 22.20 0.5293 20.35 0.2280 21.93 0.3469
scene_01 22.95 0.6386 19.17 0.3063 21.54 0.4791
scene_02 17.62 0.5116 14.75 0.2820 20.16 0.5023
scene_03 20.65 0.5429 17.50 0.2793 20.72 0.4626

Public Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 FMDiff-CARS + gradient 0.869 39.09 0.985 0.92 ✓ Certified Li et al., NeurIPS 2024
2 SpecFormer-CARS + gradient 0.841 36.47 0.976 0.93 ✓ Certified Liao et al., Light Sci. Appl. 2023
3 Diff-CARS + gradient 0.836 36.75 0.977 0.89 ✓ Certified Zhang et al., Nat. Methods 2024
4 PINN-CARS + gradient 0.801 33.17 0.954 0.94 ✓ Certified Bae et al., ACS Photonics 2021
5 ResNet-CARS + gradient 0.799 33.94 0.96 0.88 ✓ Certified Ying et al., Optica 2022
6 U-Net-CARS + gradient 0.786 32.19 0.945 0.93 ✓ Certified Manifold et al., Nat. Mach. Intell. 2021
7 CNN-NRB + gradient 0.743 29.29 0.905 0.94 ✓ Certified Houhou et al., Chem. Sci. 2020
8 MEM-CARS + gradient 0.626 24.18 0.775 0.87 ✓ Certified Rinia et al., J. Raman Spectrosc. 2008
9 KK-Retrieval + gradient 0.610 23.07 0.734 0.93 ✓ Certified Liu et al., Opt. Express 2009

Visible Data Fields

y H_ideal spec_ranges x_true true_spec

Dataset

Format: HDF5
Scenes: 5

Scoring Formula

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

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