Adaptive line enhancer assisted single cell identification in a pseudorandom noise-stimulated microflow-cytometry

In this paper we show how adaptive line enhancer is used in single cell impedance measurement to remove noise. ALE can deccorrelate and remove broadband noise from raw experimental data, improving the signal-to-noise ratio of the system. This improvement is significant for multi-frequency measurements using pseudorandom noise stimulation. The noise-polluted impedance signal of single human red blood cells in the raw data can be clearly identified after the process of ALE.