Advanced Signal Processing for Optofluidic Single-Molecule Sensors
Holger Schmidt,
Narinder Kapany Professor of Electrical Engineering,
University of California-Santa Cruz
Chip-scale optofluidic devices have emerged as powerful, ultrasensitive sensors for molecular biomarkers. Maintaining outstanding performance in a point-of-care setting introduces new tradeoffs between cost, reliability, and performance. I will discuss the use of advanced signal processing methods that provide optimized information extraction in the presence of limited signal-to-noise ratios that are typically found outside a research lab. Examples include a new, ultrafast wavelet-based signal analysis algorithm, the use of machine learning and neural networks for multiplexing, and a new modulation technique that provides ultrawide dynamic range with a single method. In concert, these techniques allow for real-time, single molecule detection at the edge.
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