The throughput of Coulter-type microfluidic devices for single-particle analysis is limited by the problem of coincidences, i.e., two or more particles visiting the sensing zone in close proximity. Here, we report a novel microfluidic impedance cytometer able to provide a throughput as high as 2500 particles/s. This is possible thanks to an original strategy that enables the arbitration of coincidences, i.e., their resolution into the composing single events. In order to achieve real-time processing of the recorded electrical fingerprints, an innovative neural-network approach is implemented. The present system, besides providing high-throughput counting, also enables accurate cell characterization. In particular, it is possible to discern whether an event with abnormally high amplitude is a coincidence or an unusually large (possibly pathological) cell.
Caselli, F., de Ninno, A., Reale, R., Businaro, L., Bisegna, P. (2020). Machine learning-enabled high-speed impedance cytometry. In MicroTAS 2020 - 24th International Conference on Miniaturized Systems for Chemistry and Life Sciences (pp.801-802). Chemical and Biological Microsystems Society.
Machine learning-enabled high-speed impedance cytometry
Caselli F.
;Bisegna P.
2020-01-01
Abstract
The throughput of Coulter-type microfluidic devices for single-particle analysis is limited by the problem of coincidences, i.e., two or more particles visiting the sensing zone in close proximity. Here, we report a novel microfluidic impedance cytometer able to provide a throughput as high as 2500 particles/s. This is possible thanks to an original strategy that enables the arbitration of coincidences, i.e., their resolution into the composing single events. In order to achieve real-time processing of the recorded electrical fingerprints, an innovative neural-network approach is implemented. The present system, besides providing high-throughput counting, also enables accurate cell characterization. In particular, it is possible to discern whether an event with abnormally high amplitude is a coincidence or an unusually large (possibly pathological) cell.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
