Processed Dataset for 'Rapid Salmonella serovar classification using AI-enabled hyperspectral microscopy with enhanced data preprocessing and multimodal fusion'

This dataset is presented in the following publication. Please cite this publication if you use the dataset.

Papa, M., Bhattacharya, S., Park, B., & Yi, J. (2025). Rapid Salmonella serovar classification using AI-enabled hyperspectral microscopy with enhanced data preprocessing and multimodal fusion. Foods, 14(15), 2737. doi: https://doi.org/10.3390/foods14152737

spectra_single_cell.csv: Single-cell spectral data extracted from hyperspectral data cubes ("hypercubes"). Each row contains the spectral features and serovar label of one bacterial cell. Note that each hypercube contains multiple cells.

images.zip: RGB composite images generated from each hypercube, with one image corresponding to one hypercube. This image directory follows the PyTorch ImageFolder-style structure: 

• train/: subfolders named by Salmonella serovar, each containing training images.
• evaluate/: A single folder containing all test images.

Note: This may include a .DS_Store file automatically generated by macOS. It can be safely ignored or deleted.