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

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