Raman Spectroscopy Data for Alginate Hydrogel Detection in Tissue

Raman spectroscopy datasets and processed CLS analysis support a manuscript investigating alginate hydrogel detection in tissue samples. The data was contributed by author Monireh Pourrahimi and hosted by Harvard Dataverse, with a last update recorded in March 2026.

Use Cases

• Develop classifiers to identify alginate hydrogel spectral signatures against tissue background signals.
• Validate CLS (Classical Least Squares) analysis models for quantifying hydrogel concentration from Raman spectra.
• Compare processed CLS analysis results with raw spectroscopy data to assess algorithm performance.
• Map the spatial distribution of implanted hydrogels using high-resolution spectral mapping data.

Strengths

• Data is directly linked to a peer-reviewed manuscript, ensuring research relevance.
• Includes both raw Raman spectroscopy datasets and processed CLS analysis outputs.

Limitations

• Specific data volume, sample size, and spectral resolution details are unknown.
• The dataset's scope is focused on a single biomaterial (alginate) and a specific detection method.

Provenance

Source

Harvard Dataverse repository, contributed by Monireh Pourrahimi.

Collection Method

Raman spectroscopy measurements and subsequent CLS analysis of tissue samples containing implanted alginate hydrogels.

Freshness

Last updated in March 2026.