Recent advances in flow cytometry analysis have spurred the creation of sophisticated methodologies to resolve the inherent challenges posed by spectral cross-talk. Traditionally, manual compensation matrix generation relies on single or multiple compensation controls, which can be vulnerable to inaccuracies and introduce biases, particularly when

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