Recent advancements in machine intelligence are revolutionizing data analysis within the field of flow cytometry. A particularly exciting application lies in the optimization of spillover matrices, a crucial step for accurate compensation of spectral spillover between fluorescent channels. Traditionally, these matrices are constructed using manual