Matrix spillover remains a significant issue in flow cytometry analysis, influencing the accuracy of experimental results. Recently, artificial click here intelligence (AI) have emerged as novel tools to mitigate matrix spillover effects. AI-mediated approaches leverage sophisticated algorithms to quantify spillover events and adjust for their cons