AI-Driven Compensation Matrix Correction in Flow Cytometry

Recent advances in flow cytometry data have spurred the creation of sophisticated methodologies to handle the inherent challenges posed by spectral overlap. Traditionally, conventional compensation matrix generation relies on single or multiple compensation controls, which can be prone to inaccuracies and introduce biases, particularly when investi

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