Recent advancements in artificial intelligence are revolutionizing data interpretation 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 usin