Evidence map›Paper›PMID 37834515›Full record

ReviewMaterials (Basel, Switzerland)2023

Characteristics and Functionality of Cantilevers and Scanners in Atomic Force Microscopy.

Andrius Dzedzickis, Justė Rožėnė, Vytautas Bučinskas, Darius Viržonis, Inga Morkvėnaitė-Vilkončienė

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2023. 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. Review
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.

Andrius DzedzickisDepartment of Mechatronics, Robotics, and Digital Manufacturing, Vilnius Gediminas Technical University, Plytines 25, 10105 Vilnius, Lithuania.ORCID 0000-0002-0665-8829
Justė RožėnėDepartment of Mechatronics, Robotics, and Digital Manufacturing, Vilnius Gediminas Technical University, Plytines 25, 10105 Vilnius, Lithuania.ORCID 0000-0002-4741-7888
Vytautas BučinskasDepartment of Mechatronics, Robotics, and Digital Manufacturing, Vilnius Gediminas Technical University, Plytines 25, 10105 Vilnius, Lithuania.ORCID 0000-0002-2458-7243
Darius ViržonisDepartment of Mechatronics, Robotics, and Digital Manufacturing, Vilnius Gediminas Technical University, Plytines 25, 10105 Vilnius, Lithuania.
Inga Morkvėnaitė-VilkončienėDepartment of Mechatronics, Robotics, and Digital Manufacturing, Vilnius Gediminas Technical University, Plytines 25, 10105 Vilnius, Lithuania.

Funding

EU Regional fund 01.2.2-LMT-K-718-03-0063
6 · The paper itself

Abstract

In this paper, we provide a systematic review of atomic force microscopy (AFM), a fast-developing technique that embraces scanners, controllers, and cantilevers. The main objectives of this review are to analyze the available technical solutions of AFM, including the limitations and problems. The main questions the review addresses are the problems of working in contact, noncontact, and tapping AFM modes. We do not include applications of AFM but rather the design of different parts and operation modes. Since the main part of AFM is the cantilever, we focused on its operation and design. Information from scientific articles published over the last 5 years is provided. Many articles in this period disclose minor amendments in the mechanical system but suggest innovative AFM control and imaging algorithms. Some of them are based on artificial intelligence. During operation, control of cantilever dynamic characteristics can be achieved by magnetic field, electrostatic, or aerodynamic forces.

Indexed as

atomic force microscope (AFM)cantileverscanner

Identifiers

PMID37834515
PMCPMC10573440

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.