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Introduction

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Nanopore sequencing principle. General visual guide for nanopore detection.

Introduction is part of the Nanopore Wiki learning path. Nanopore detection converts molecular motion through nanoscale pores into measurable electrical or physical signals. It is the foundation for nanopore sequencing and for many single-molecule sensing methods.

Core concepts

  • A nanopore system contains a nanoscale pore, electrolyte, an applied driving force, and a detector.
  • The open-pore signal is the baseline measured when no target occupies the pore.
  • A blockade event is a transient signal change caused by a molecule entering, passing through, or interacting with the pore.
  • Useful interpretation depends on controls, repeatability, signal-to-noise ratio, and metadata.

Scientific basis

  • A nanopore system contains a nanoscale pore, electrolyte, an applied driving force, and a detector.
  • The open-pore signal is the baseline measured when no target occupies the pore.
  • Interpretations should be tied to measurable quantities, experimental controls, and documented analysis settings.
  • Claims should distinguish direct observations from downstream inference.

Learning path

Step Description
1 Start with open-pore current, blockade depth, dwell time, and event frequency.
2 Learn how pore type, voltage, buffer chemistry, and sample state affect the signal.
3 Connect physical signals to sequencing, sensing, and bioinformatics workflows.
4 Use controls and statistical summaries before making biological or technical claims.

Typical applications

  • Orientation for new readers entering nanopore technology.
  • Bridge between nanopore sequencing and broader single-molecule detection.
  • Reference page for terminology used throughout the site.

Quality checks

  • Record platform, pore or flow-cell type, chemistry, voltage or acquisition settings, and software versions.
  • Use negative controls, positive controls, and replicate measurements where the claim depends on specificity.
  • Report limitations such as noise, bias, sample degradation, pore instability, or model-dependent analysis.
  • Use the related pages to move from introductory terms to experimental or computational detail.

Interpretation limits

  • Treating a visible event as proof of target detection without controls.
  • Ignoring baseline instability, drift, and filtering effects.
  • A single result should not be generalized beyond the sample, protocol, instrument state, and analysis pipeline used.
  • Medical, legal, regulatory, or commercial decisions require domain-specific validation beyond this educational summary.

References