ArticleMethods in molecular biology (Clifton, N.J.)2026
Metrology of Nanoscale Objects Using Nanopores.
Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Solid-state nanopore serves as a versatile tool for single-particle analysis of nanoscale objects, enabling the measurement of their geometrical and physicochemical properties with molecular precision. When a bias drives an analyte to translocate through a nanopore, ionic current blockades encode information on the object's size, shape, charge, and dynamics. Compared with biological nanopores, solid-state nanopores offer superior mechanical stability, broader operational ranges, and easier integration with optical or mechanical characterization systems. This chapter introduces the concept of nanopore tomography (NT), which focuses on extracting quantitative geometrical parameters rather than genomic sequence information. We discuss the experimental considerations in nanopore characterization, including noise sources, sampling rate limitations, and filtering effects that distort short translocation events. The event charge deficit (ECD) emerges as a robust parameter preserved under signal filtering, allowing reliable particle fingerprinting. Furthermore, multiphysics coupled finite element modeling is presented to simulate electrokinetic processes and translocation dynamics, revealing the nonlinear dependence of current blockade on voltage and the contributions of electrophoretic and electroosmotic forces. Together, these insights advance nanopore-based metrology toward high-throughput, label-free, and nondestructive characterization of biomolecules, viruses, and nanoparticles.
Indexed as
Identifiers
42663962What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.