Latent space mapping of interpretable structural coordinates from stochastic single-molecule signals
Nanopores are versatile single-molecular sensors, but their utility is fundamentally constrained by stochastic translocation dynamics warping any encoded information. We resolve it by shifting from time-domain analysis to a learned latent-space mapping via a contrastive encoder trained exclusively on simulated signals from a physics-informed model. This encoder maps solid-state nanopore signals of engineered DNA barcodes into an interpretable molecular coordinate system. The learned representation is responsive to structural barcode parameters while remaining invariant to acquisition conditions and translocation conformation, allowing data pooling across devices. Molecule identification r...
| Authors | Matteo Cartiglia, Sandro Kuppel, Wouter Botermans Wannes Peeters et al. |
|---|---|
| Primary category | physics.ins-det |
| Published | 15 June 2026 |
| Last updated at source | 15 June 2026 |
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