Authors:
Christopher R. O'Donnell
and
William B. Dunbar
Affiliation:
University of California, United States
Keyword(s):
Nanopore, Single Channel Recording, Least-squares, Online Parameter Estimation, State-space Modeling.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Signal Processing
;
Detection and Identification
;
Informatics in Control, Automation and Robotics
;
Real-Time Systems
;
Signal Processing, Sensors, Systems Modeling and Control
;
Time and Frequency Response
;
Time-Frequency Analysis
Abstract:
Step-changing and sinusoidal voltage patterns have expanded the capabilities of the nanopore instrument for single molecule manipulation and measurement. A challenge with voltage-varying experiments is that capacitance in the system is excited and masks the contribution of the nanopore channel conductance in the measured current. The conductance is the parameter that can be used to infer the dynamics of the complex (e.g., DNA, or DNA-protein) in the pore. We present a least-squares parameter estimation (LSPE) algorithm for estimating the channel conductance under voltage-varying conditions, including step and sinusoidal voltages, with the objective of inferring the channel conductance parameter as continuously as possible. The algorithm is shown to recover the conductance faster than by waiting for capacitive transients to settle in step-voltage experiments, and provides accurate continuous conductance estimates in sinusoidal voltage experiments, with realistic noise levels superimpo
sed on the measurements.
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