Acquiring and Classifying Signals from Nanopores and Ion-Channels

The use of engineered nanopores as sensing elements for chemical and biological agents is a rapidly developing area. The distinct signatures of nanopore-nanoparticle lend themselves to statistical analysis. As a result, processing of signals from these sensors is gaining importance, but this field is relatively less developed. In this paper we demonstrate a neural network approach to classify and interpret nanopore and ion-channel signals.

• Type: Conference
• Year: 2009
• Where: ICANN
• Authors: Bharatan Konnanath, Prasanna Sattigeri, Trupthi Mathew, Andreas Spanias, Shalini Prasad, Michael Goryll, Trevor Thornton, Peter Knee
• Keywords: Artificial Intelligence, Distinct Signatures, ICANN 2009, Nanopore-nanoparticle Lend, Neural Network Approach