A Bayesian approach for coincidence resolution in microfluidic impedance cytometry
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IEEE Transactions on Biomedical Engineering (TBME)
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Microfluidic impedance cytometers are label-free systems for single-cell electrical characterization, which find application within life sciences, medicine, and environmental monitoring. However, their throughput and accuracy are limited by coincidences (i.e., two or more particles passing through the sensing zone nearly simultaneously), which may lead to errors in the measured particle properties. As an example, in a liquid biopsy application, a signal with unusually high amplitude could be interpreted as a circulating tumour cell while it is instead a doublet of red blood cells, or vice versa. In this work, a strategy for coincidence resolution is proposed.
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