Thrust 2 - Project 3: Develop Surface-Enhanced Raman Spectroscopy (SERS) Substrates for the Detection of Waterborne Pathogen Using Raman Spectroscopy and Deep Learning
The Li and Jessing team at FLC uses Raman spectroscopy and deep learning to identify the bacteria genotypes. The process of generating spectra is considerably simpler and faster than standard and allows for higher throughput, fewer preparation materials and non-specialists to gather high-quality data. However, the presence of a strong background signal from bacteria colonies compromises the quality of the dataset. The utilization of SERS substrates is crucial in mitigating this issue. To achieve this, the Li and Jessing team will work with IMOD team and facilities for the fabrication of SERS substrates.