The quality of topographic images obtained using atomic force microscopy strongly depends on the accuracy of the choice of scanning parameters. When using the most common scanning method - semicontact amplitude modulation (tapping) mode, the choice of scanning parameters is quite complicated, since it requires taking into account many factors and finding the optimal balance between them. A researcher's task can be significantly simplified by introducing new scanning techniques. Two such techniques are described: vertical and dissipation modes. Significantly simplified and formalized choice of the imaging parameters in these modes allows addressing a wide range of formerly challenging tasks - from scanning rough samples with high aspect ratio features to molecular resolution imaging.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609242 | PMC |
| http://dx.doi.org/10.3762/bjnano.12.90 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Horizontal Distortion Correction of AFM Images Based on Automatic Labeling of Feature Graphics.
Microsc Res Tech
January 2025
School of Electrical & Control Engineering, Shenyang Jianzhu University, Shenyang, China.
The atomic force microscope (AFM) image will be inclined and bent due to the tilt angle between the probe and the sample surface. When the least squares fitting method is used to correct the horizontal distortion of the AFM image, the shape structure that is lower or higher than the sample base will affect the final fitting correction result. In view of the limitations of existing methods and the diversity of AFM images, an AFM image level distortion correction method based on automatic feature marking is proposed.
View Article and Find Full Text PDFIn Vitro Analysis of Enamel Abrasion Using a Novel Manual Nano-Bristle Toothbrush: An Atomic Force Microscopy Study.
Cureus
December 2024
Periodontology, SRM Kattankulathur Dental College and Hospital, SRM Institute of Science and Technology, Chengalpattu, IND.
Introduction: To evaluate the enamel abrasion effects of soft, ultra-soft, and nano-bristle toothbrushes using atomic force microscopy (AFM) to guide toothbrush selection for optimal enamel preservation.
Methods: This in vitro study involved 45 extracted human teeth (central and lateral incisors), randomly assigned to three groups (n=15 each): Group I (nano-bristle), Group II (ultra-soft bristle), and Group III (soft bristle). Each specimen underwent 10,000 brushing cycles with a standardized 2 N force to simulate one year of brushing.
A novel anxiety-associated SNP identified in () is associated with decreased protein binding to nicotinic acetylcholine receptors.
Front Behav Neurosci
December 2024
Department of Biological Sciences, Lehigh University, Bethlehem, PA, United States.
Introduction: Anxiety disorders are among the most common mental illnesses in the US. An estimated 31.1% of U.
View Article and Find Full Text PDFEdge-Energy-Driven Growth of Monolayer MnI Islands on Ag(111): High-Resolution Imaging and Theoretical Analysis.
ACS Nano
January 2025
Institute of Physics and Astronomy, University of Potsdam, 14476 Potsdam-Golm, Germany.
The reduced dimensionality of thin transition metal dihalide films on single-crystal surfaces unlocks a diverse range of magnetic and electronic properties. However, achieving stoichiometric monolayer islands requires precise control over the growth conditions. In this study, we employ scanning probe microscopy to investigate the growth of MnI on Ag(111) via single-crucible evaporation.
View Article and Find Full Text PDFComputational condensed matter science contributions to addressing water emerging contaminant pollution: A comprehensive review.
J Phys Condens Matter
January 2025
Universidade Federal de Santa Maria, Departamento de Física, Santa Maria, RS, 97105-900, BRAZIL.
The study of emerging contaminants (ECs) in water resources has garnered significant attention due to their potential risks to human health and the environment. This review examines the contribution from computational approaches, focusing on the application of machine learning (ML) and molecular dynamics (MD) simulations to understand and optimize experimental applications of ECs adsorption on carbon-based nanomaterials. Condensed matter physics plays a crucial role in this research by investigating the fundamental properties of materials at the atomic and molecular levels, enabling the design and engineering of materials optimized for contaminant removal.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!