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Updated: Jan 24, 2026

Fine-tuning the Size and Minimizing the Noise of Solid-state Nanopores

Fine-tuning the Size and Minimizing the Noise of Solid-state Nanopores

Published on: October 31, 2013

ナノポアセンシングの進歩：将来の信号処理の見通し

Naren Das¹, Arnav Jhalani¹

¹Department of Electronics and Communication Engineering Department, Birla Institute of Technology, Ranchi, Patna Campus, Bihar, India.

Advances in clinical chemistry

|January 22, 2026

Abstract:

Nanopore sensing has developed as a revolutionary analytical tool in clinical chemistry, which facilitates fast, label-free analysis of biomolecules from nucleic acids through proteins and small metabolites. Its potential for converting molecular interaction into measurable ionic current fingerprints makes real-time, high-resolution analysis of clinically relevant targets possible in complex biological matrices. In this chapter, we discuss the changing scene of signal processing methods that augment the diagnostic potential of nanopore platforms. The focus areas are reduction of noise, extraction of features, and integration of machine learning for precise biomarker identification under physiologically noisy environments. The chapter also mentions advances in real-time processing essential for point-of-care diagnostics, such as the adoption of edge AI and application-specific integrated circuits (ASICs). Finally, we present the future application of quantum computing and multimodal sensing in pushing nanopore-based clinical diagnostics forward.

キーワード:

分析対象物の同定特徴抽出機械学習ナノポアセンシング信号処理アルゴリズム

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