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