Public

FLIM — 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
irf_width -20.0 – 40.0 10.0 ps
time_bin -5.0 – 10.0 2.5 ps
afterpulsing -0.005 – 0.01 0.0025

InverseNet Baseline Scores

Method: CPU_baseline — Mismatch parameter: nominal

Scenario I (Ideal)

13.27 dB

SSIM 0.3991

Scenario II (Mismatch)

11.88 dB

SSIM 0.2385

Scenario III (Oracle)

19.75 dB

SSIM 0.4579

Per-scene breakdown (4 scenes)
Scene PSNR I SSIM I PSNR II SSIM II PSNR III SSIM III
scene_00 17.02 0.3838 14.94 0.2440 20.04 0.5013
scene_01 14.23 0.2969 12.92 0.2098 19.23 0.5480
scene_02 8.52 0.3871 8.01 0.2308 20.11 0.3417
scene_03 13.30 0.5284 11.66 0.2694 19.61 0.4408

Public Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 DiffFLIM + gradient 0.842 37.05 0.978 0.9 ✓ Certified Gao et al., NeurIPS 2024
2 PhysFLIM + gradient 0.825 36.17 0.974 0.87 ✓ Certified Chen et al., Nat. Photonics 2024
3 SwinFLIM + gradient 0.807 34.04 0.961 0.91 ✓ Certified Zhang et al., Biomed. Opt. Express 2023
4 TransFLIM + gradient 0.787 32.53 0.948 0.91 ✓ Certified Wang et al., Nat. Methods 2022
5 FLIMJ + gradient 0.758 30.97 0.93 0.88 ✓ Certified Li et al., Nat. Methods 2022
6 DnCNN-FLIM + gradient 0.718 28.68 0.894 0.87 ✓ Certified Smith et al., Nat. Methods 2019
7 RLD-FLIM + gradient 0.686 26.14 0.836 0.95 ✓ Certified Ballew & Demas, Anal. Chem. 1989
8 MLE-FLIM + gradient 0.600 22.82 0.724 0.91 ✓ Certified Grinvald & Steinberg, Anal. Biochem. 1974
9 Phasor-FLIM + gradient 0.575 21.66 0.675 0.94 ✓ Certified Digman et al., Biophys. J. 2008

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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