Flow cytometry, a powerful technique for analyzing cellular populations, is improved by the incorporation of AI matrix spillover analysis. This strategy leverages machine learning algorithms to predict spectral overlap between fluorescent dyes used in flow cytometry experiments. By mitigating spillover effects, AI matrix spillover analysis enhances