Matrix spillover remains a challenging issue in flow cytometry analysis, influencing the precision of experimental results. Recently, deep neural networks have emerged as novel tools to mitigate matrix spillover https://lawsonekwi205033.blogolenta.com/37393149/ai-mediated-matrix-spillover-in-flow-cytometry-analysis