Matrix spillover remains a persistent issue in flow cytometry analysis, influencing the reliability of experimental results. Recently, deep neural networks have emerged as promising tools to mitigate matrix spillover https://declanmhsw106559.newbigblog.com/47170384/ai-mediated-matrix-spillover-in-flow-cytometry-analysis