Figure 1:

System overview. A suspension of cells flows through the microfluidic impedance cytometer and the electric field perturbation induced by each cell is recorded as a pair of electric current signals. Each signal, representing a high-content cell fingerprint, is fed into a neural network for real-time feature extraction (bi-LSTM, bidirectional Long Short-Term Memory layer; Fully Conn., fully connected layer).