3D Fluorescent Sensor Driven by Deep Learning: Rapid Recognition of Serum Carbohydrates Using CuO Nanomaterials
Introduction Based on the oxidase-like properties of copper oxide nanoparticles (CuO NPs), this study developed a sensor array method that combines three-dimensional fluorescence (3D FL) spectroscopy with deep convolutional neural networks (CNN) for the high-precision and high-sensitivity identification and quantification of carbohydrates in serum and complex environments. The model achieved an accuracy of 99–100% in … Read more