Precise diagnosis of tumor cells and hemocytes using ultrasensitive, stable, selective cuprous oxide composite SERS bioprobes assisted with high-efficiency separation microfluidic chips

In this study, we reported a flower-like Cu 2 O@Ag SERS substrate for distinguish three types of cancer cells from white blood cells by using machine learning-assisted LDA, after separating cancer cells from blood samples via a microfluidic chip.