TB-SERS spectral dataset for tuberculosis prediction
Abstract
This dataset accompanies the manuscript “TB-SERS Analyzer: Analysis tool for tuberculosis prediction based on Raman spectroscopy with machine learning and convolutional neural network”. It contains Raman and SERS spectra from blind plasma samples tested for latent tuberculosis infection (LTBI) using the interferon-gamma release assay (IGRA) results. The data were used for spectral preprocessing, machine learning–based analysis, and model validation in tuberculosis prediction studies
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 10 April 2026
- Document type
- Dataset