Identification of fluoroquinolone-resistant Mycobacterium tuberculosis through high-level data fusion of Raman and laser-induced breakdown spectroscopy

This study presents a fusion model of Raman and LIBS to diagnose drug-resistant tuberculosis, achieving 98.3% accuracy. Given the rapid measurement capabilities of both techniques, this approach is expected to reduce the diagnosis time.