Flow cytometry, a powerful technique for analyzing cells, can be affected by matrix spillover, where fluorescent signals from one population leak into another. This can lead to erroneous results and hinder data interpretation. Novel advancements in artificial intelligence (AI) are providing innovative solutions to address this challenge. AI-driven

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