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From a deep-learning nanopore analysis package to open lab calculators: software built to turn single-molecule signals into answers.
A Python package for automated analysis of solid-state nanopore data: event detection, feature extraction, and classification of single-molecule translocation events using custom 1D-CNN architectures. The demo below is a live miniature of that pipeline: set a detection threshold and watch events get detected, measured, and sorted into protein populations.
Lower the threshold to catch shallow events (higher recall, more noise); raise it to keep only deep blockades.
Browser-based scientific calculators for common laboratory work: solutions, dilutions, and unit conversions. No installation, works on any device.
Models the geometry of ion-track-etched conical nanopores from etching parameters.
Fits small-angle X-ray scattering profiles to characterise ion tracks and nanopores.
Estimates pore diameter from open-pore conductance and membrane parameters.
Custom fitting routines for nanopore and ion-track characterisation datasets.