Identifying skin cell populations via their fluorescent signatures in label-free two-photon FLIM

We introduce advances in cellular phenotyping using FLAME, a portable, non-invasive multiphoton imaging device with fluorescence lifetime capabilities. FLAME captures high-resolution in vivo data in clinical settings and applies deep learning for cell segmentation, combining lifetime, spectral, and morphological features. By incorporating cellular connectivity, it enables detailed phenotypic classification and mapping of cell populations. This approach supports applications in diagnostics, treatment monitoring, and personalized medicine, offering new insights into cellular heterogeneity and advancing precision healthcare.