The main signals come from the cofactors NAD(P)H and flavin adenine dinucleotide, or FAD. Because these molecules participate in cellular energy-related processes, their endogenous fluorescence provides a biochemical readout without adding labels. Examining both cofactors helps researchers relate optical measurements to cellular metabolism and changes in metabolic state.
Signal intensity indicates the amount of detected fluorescence, while fluorescence lifetime measures how long the signal persists after excitation. Relative NAD(P)H and FAD signals provide an additional comparison between metabolic cofactors. Together, these measurements can reveal shifts in redox balance and energy-producing pathways more informatively than relying on a single optical value.
Using endogenous fluorescence avoids introducing external labels that could interfere with the sample or complicate repeated observation. The resulting measurements can be collected noninvasively while cells or tissues remain living. This supports real-time phenotyping, meaning characterization of functional cellular behavior, and allows metabolic changes to be followed without disrupting the specimen.
The workflow centers on collecting endogenous fluorescence from living cells or tissues and analyzing signal intensity, fluorescence lifetime, and relative cofactor signals. These measurements are then interpreted in relation to redox balance, energy-producing pathways, or overall metabolic state. Quantitative analysis converts the optical observations into measurable indicators of cellular function.
In bioengineering, the technique can help evaluate whether cells within engineered tissues remain functionally active and how their metabolism changes over time. Because measurements do not require sample disruption, the same living construct can be monitored during development. This provides metabolic information alongside tissue development, supporting noninvasive assessment of engineered systems.
Researchers can compare endogenous fluorescence measurements before and after exposing cells or tissues to environmental or therapeutic conditions. Changes in cofactor intensity, lifetime, or relative signals may indicate altered redox balance or energy-producing activity. The approach therefore enables quantitative monitoring of metabolic responses while preserving the living sample for continued observation.