Evidence map›Paper›PMID 39943502›Full record

ArticleSensors (Basel, Switzerland)2025

Adaptive Drive as a Control Strategy for Fast Scanning in Dynamic Mode Atomic Force Microscopy.

Matilde Gelli, Bruno Tiribilli, Faiza Abdul Salam, Massimo Vassalli, Michele Basso

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Matilde GelliDepartment of Information Engineering, University of Florence, 50139 Florence, Italy.ORCID 0000-0002-8359-0426
Bruno TiribilliInstitute for Complex Systems, National Research Council (ISC-CNR), 50019 Sesto Fiorentino, Italy.ORCID 0000-0001-9851-1850
Faiza Abdul SalamJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.ORCID 0009-0000-7156-2754
Massimo VassalliJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.ORCID 0000-0002-3063-4376
Michele BassoDepartment of Information Engineering, University of Florence, 50139 Florence, Italy.ORCID 0000-0002-1526-7715

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atomic Force Microscopy (AFM) is an advanced imaging technique which features nanoscale resolution and the ability to work under physiological conditions on soft samples. Modern AFM systems offer easy access to Dynamic Mode imaging which reduces the tip-sample interaction and increases the effective resolution. However, the intrinsic nature of this driving strategy induces a trade-off between three different aspects: the scanning speed, an accurate topography reconstruction and weak interaction forces. The impact of this inherent trade-off is especially evident when imaging samples with steep and deep valleys, and artifacts are often created in the reconstructed topography. This phenomenon, known as parachuting, rapidly worsens at faster speeds. In this paper, a new strategy is proposed for limiting parachuting artifacts, based on an adaptive driving strategy, which can be easily implemented as an add-on to commercial AFM systems. The suggested method has been tested on grid samples, and it enhances the nano-imaging quality by effectively reducing artifacts in the topography.

Indexed as

adaptive cantilever excitationDynamic Mode Atomic Force Microscopeparachuting artifacts

Identifiers

PMID39943502
PMCPMC11821051

What OpenQuestion holds

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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.