DECIPHER: Vibrational Hyperspectral Imaging Data for SRS, CARS, and MIP

2.0 GB of demonstration data for processing vibrational hyperspectral imaging. The collection includes data from stimulated Raman scattering, coherent anti-Stokes Raman scattering, and mid-infrared photothermal imaging modalities. It was authored by Haonan Lin and last updated on 2026-05-10.

Use Cases

• Developing image processing pipelines for stimulated Raman scattering data.
• Benchmarking denoising or reconstruction algorithms on coherent anti-Stokes Raman scattering images.
• Training machine learning models for chemical mapping based on mid-infrared photothermal imaging features.

Strengths

• Data volume is 2.0 GB, indicating a medium-scale collection for demonstration.
• Covers multiple advanced imaging modalities: SRS, CARS, and mid-infrared photothermal.

Limitations

• Row count and specific column definitions are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Haonan Lin via figshare

Collection Method

Likely collected from laboratory instrumentation for demonstration purposes.

Freshness

Last updated 2026-05-10 20:13:39; freshness should be verified.