Deep Neural Deconvolution of Plasmonic Signal Interference for Ultra-Sensitive Lung Cancer Biomarker Detection
Early and sensitive identification of the lung cancer biomarkers is essential towards the process of enhancing the patient outcomes. Traditional plasmonic biosensors SP, LSPR, and SERS, provide sensitive detection of other biosensors, but spectral overlap, interference, and poor reproducibility in multi-biomarkers. Her...