An Artificial neural network-based signal classifier for automated identification of detection signals from a dielectrophoretic cytometer
An automated signal classifier and a semi-automated signal identifier are designed for collecting the dielectrophoretic signatures of cells flowing through a dielectrophoretic cytometer. In past work, the DEP cytometer signals were manually sorted by going through all recorded signals, which is impr...
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2014
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| Online Access: | http://hdl.handle.net/1993/23318 |