The noninvasive visualization of dermal M1 and M2 macrophage phenotypes is shown for the first time in vivo.

Human blood derived macrophage polarisation can be classified by proxy of their metabolism, using advanced microscopy techniques generating single-cell parameters that are clustered and validated using machine learning classification models.

The level of heterogeneity of cellular energy metabolism increases with model complexity and is the highest in patients' tumors, which can be observed and quantified using FLIM of NAD(P)H.

Image-based motion correction enables the use of fluorescence lifetime and other functional imaging modalities in an intravital and clinical context in the presence of physiological motion.

Proteomic and genetic analysis discovers a new cytoskeletal mechanism of presynaptic short-term plasticity common across neuronal cell types.

Heterogeneity in cytoplasmic calcium concentration alongside B cell activation and differentiation is measured intravitally using an interdisciplinary imaging approach and novel numerical analysis.

A novel microscopy-based assay shows that dendritic cells encountering pathogenic stimuli form increased complexes of specific SNARE proteins, driving release of large amounts of inflammatory cytokines.

Fluorescence lifetime imaging microscopy, paired with fluorescent, voltage-sensitive dyes, provides a method for measuring and quantifying membrane potentials of living cells.

Mitochondrial metabolic fluxes display a subcellular spatial gradient within a single mouse oocyte, and the fluxes are not controlled by nutrient supply or energy demand of the cell, but by the intrinsic rates of mitochondrial respiration.

Lifetime imaging of endogenous metabolic coenzymes is sensitive to dynamic changes in macrophage activation in a live animal, providing a label-free imaging approach to study immunometabolism in vivo with single-cell, spatial, and temporal resolution.