A robust signal processing program for nanopore signals using dynamic correction threshold with compatible baseline fluctuations.

Solid-state nanopores represent a powerful platform for the detection and characterization of a wide range of biomolecules and particles, including proteins, viruses, and nanoparticles, for clinical and biochemical applications. Typically, nanopores operate by measuring transient pulses of ionic current during translocation events of molecules passing through the pore. Given the strong noise and stochastic fluctuations in ionic current recordings during nanopore experiments, signal processing based on the statistical analysis of numerous translocation events remains a crucial issue for nanopore sensing.