A combination of multi parameter fluorescence detection (MFD) with structure based fluorescence models is presented, to capture and describe fluorescence and FRET between a donor (D) and acceptor (A) dye of fluctuating macromolecules over more than five orders of magnitude from picoseconds to seconds with Angstrom resolution. The presented top down approach combines molecular models with established fluorescence techniques such as time correlated single photon counting, burst integrated fluorescence lifetime analysis, filtered fluorescence correlation spectroscopy (fFCS), and photon distribution analysis in a joined framework and thus facilitates the analysis and interpretation of fluorescence experiments. Fluorescence and FRET on the picoseconds to nanosecond regime is described by combining atomistic models with a coarse grained representation of the dyes. Their conformational space is quantified by coarse grained accessible volume simulations while Brownian dynamics simulations capture transient effects of FRET and fluorescence quenching. Assuming dynamic quenching and FRET are decoupled, the first two modes of the DA-distance distribution are determined for single molecules to conveniently reveal macromolecular kinetics on the milli- and sub-millisecond kinetics by MFD histograms. Structural models are projected to yield parametric equations of single-molecule observables. This serves as a visual guide to analyse MFD- histograms. Numeric integration of the chemical master equation analyses MFD-histograms and quantifies in combination with fFCS kinetic networks of dynamically exchanging macromolecular conformations in the sub-microsecond to millisecond regime. A joint analysis of multiple fluorescence decays by structure based patterns resolved chemical equilibria in live cell. In future, such holistic approaches may exploit the information contained in the fluorescence signal and connect dynamic molecular structural models with kinetic and equilibrium networks of biomolecules to picture molecular machines in living cells.