RaSizeNet: An interpretable multimodal deep learning model integrating SERS spectra and inertial microfluidic size distribution for precise detection of complex pathogens
Fields of Study & Subjects
Spectroscopy Techniques in Biomedical and Chemical Research
Biosensors and Analytical Detection
Microfluidic and Bio-sensing Technologies
Publication details
- Journal / source
- Journal of Hazardous Materials
- Publisher
- Elsevier BV
- Volume
- 505
- Pages
- 141491–141491
- Publication date
- 16 February 2026
- Language
- EN