ArticleScience advances2026
A three-dimensional scanning trapped-ion probe.
Article in Science advances, 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The performance of a wide range of physical systems suffers from undesired fields from nearby surfaces, placing a premium on developing methods for understanding these imperfections. Trapped ions excel at sensing surface electric fields, but spatial scanning was limited to linear translations in previous work using radio-frequency traps, restricting the conclusions that could be drawn. Here, we demonstrate a single ion sensor confined using only static fields, consequently allowing three-dimensional position scanning and the possibility to isolate the trap from external noise. We measure static and time-varying electric and magnetic fields at distances between 50 and 450 micrometers from the metallic trap surface over a 200 micrometer-by-200 micrometer area, which we use to map charge distributions and surface noise, as well as to comprehensively discriminate between different noise sources. This approach opens up the potential to study a wide variety of materials, surface constitutions, and geometries, expanding the tool set of surface science.
Identifiers
What 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.