Evidence map›Paper›PMID 42206244›Full record

ArticleBeilstein journal of nanotechnology2026

afspm: A framework for manufacturer-agnostic automation in scanning probe microscopy.

Nicholas J Sullivan, Julio J Valdés, Kirk H Bevan, Peter Grutter

Abstract read
In one paragraph

Article in Beilstein journal of nanotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nicholas J SullivanDivision of Materials Engineering, Faculty of Engineering, McGill University, Montreal H3A 2T8, Canada.ORCID https://orcid.org/0009-0007-7402-8902
Julio J ValdésNational Research Council Canada, Digital Technologies Research Centre, Ottawa ON K4A 0S2, Canada.ORCID https://orcid.org/0000-0003-2930-0325
Kirk H BevanDivision of Materials Engineering, Faculty of Engineering, McGill University, Montreal H3A 2T8, Canada.ORCID https://orcid.org/0000-0001-9884-1403
Peter GrutterDepartment of Physics, McGill University, Montreal H3A 2T8, Canada.ORCID https://orcid.org/0000-0003-1719-8239

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scanning probe microscopy (SPM) is a valuable technique by which one can investigate the physical characteristics of the surfaces of materials. However, its throughput is hampered by the time-consuming nature of running an experiment and the significant domain knowledge required. Recent studies have shown the value of multiple forms of automation in improving this, but their use is limited due to the difficulty of integrating them with SPMs other than the one it was developed for. We have built a framework that allows for tasks written with it to be run on multiple SPM systems. Our framework defines generic commands and data structures that are passed among separate software processes, with the final SPM commands sent to the microscope after passing through an SPM-specific translator. The use of configuration files allows automation logic to be further decoupled from experiment specifics. A mediation layer permits background tasks to intermittently control the microscope, fixing detected experiment problems. Our framework has been tested on various SPM controllers, validating that it can integrate with all existing scripting interfaces types. An automated experiment was run to ensure overall running beyond integration testing.

Indexed as

atomic force microscopyautomationmanufacturer-agnosticscanning probe microscopysoftware framework

Identifiers

PMID42206244
PMCPMC13202472

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.