Carbon nanotubes and machine learning: A new way to spot subtle immune cell differences

Researchers from the University of Rhode Island and Brown University have shown that carbon nanotubes could be combined with machine learning to detect subtle differences between closely related immune cells. The researchers used an in vitro experiment that involved placing live cells into a culture dish, adding carbon nanotubes, and then using a specialized microscope with an infrared camera to observe the emitted light from each cell. The camera generated millions of data points, each of which reflected cellular activity. Healthy cells emitted one type of light, while potentially unhealthy or changing cells emitted different light patterns.