Researchers have developed a method called Cell-MICS that uses label-free two-photon autofluorescence and deep learning to detect immune cells. This approach allows for quantitative non-invasive cell characterization and discrimination based on multispectral autofluorescence features. The technique may have opportunities for clinical applications by assessing key biological autofluorophores without the need for labeling.