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This lecture discusses the automated analysis of fluorescence kinetics in single-molecule localization microscopy data to reveal protein stoichiometry. It covers quantitative analysis at the molecular level, stoichiometry in optical microscopy, blinking kinetics, and the Quick Automated Fluorescence Kinetics Analysis (QAFKA). The presentation explores how the number of blinks can predict stoichiometry, the complexity of predicting model parameters, and the validation of stoichiometry estimation in vitro and in cellulo. Additionally, it delves into dynamic quantitative analysis in cells and future directions in learning stoichiometry in a dynamically changing environment.