AI-Driven Compensation Matrix Refinement in Flow Cytometry

Recent improvements in flow cytometry data have spurred the creation of sophisticated methodologies to address the inherent challenges posed by spectral cross-talk. Traditionally, conventional compensation matrix construction relies on single or multiple compensation controls, which can be susceptible to inaccuracies and introduce biases, particula

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