Matrix spillover remains read more a persistent issue in flow cytometry analysis, influencing the accuracy of experimental results. Recently, artificial intelligence (AI) have emerged as novel tools to mitigate matrix spillover effects. AI-mediated approaches leverage complex algorithms to detect spillover events and correct for their influence on