Recent progress in flow cytometry data have spurred the creation of sophisticated methodologies to handle the inherent challenges posed by spectral cross-talk. Traditionally, laborious compensation matrix development relies on single or multiple compensation controls, which can be susceptible to inaccuracies and introduce biases, particularly when

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