Matrix spillover remains a significant issue in flow cytometry analysis, influencing the precision of experimental results. Recently, artificial intelligence (AI) have emerged as novel tools to mitigate matrix spillover effects. AI-mediated approaches leverage advanced algorithms to identify spillover events and adjust for their consequences on dat