ArticleNature protocols2018
Fast and high-resolution mapping of elastic properties of biomolecules and polymers with bimodal AFM.
Article in Nature protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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
24 citing papers in PubMed.
- Moiré-induced modulation of out-of-plane elasticity in twisted hBN.Nature communications · 2026Article
- In Situ UV Torsional Force Spectroscopy for Real-Time Mapping of Cross-linking Kinetics and Mechanical Properties in Polymeric Films.Small methods · 2026Article
- Advances in nanomechanical property mapping by atomic force microscopy.Nanoscale advances · 2025Review
- Perceiving and Countering Marine Biofouling: Structure, Forces, and Processes at Surfaces in Sea Water Across the Length Scales.Langmuir : the ACS journal of surfaces and colloids · 2025Review
- Multi-Channel Signals in Dynamic Force-Clamp Mode of Microcantilever Sensors for Detecting Cellular Peripheral Brush.Sensors (Basel, Switzerland) · 2024Article
- Applying the Atomic Force Microscopy Technique in Medical Sciences-A Narrative Review.Biomedicines · 2024Review
- Evaluation of Surface Structure and Morphological Phenomena of Caucasian Virgin Hair with Atomic Force Microscopy.Medicina (Kaunas, Lithuania) · 2024Article
- Light-induced modulation of viscoelastic properties in azobenzene polymers.Nanophotonics (Berlin, Germany) · 2024Article
- Ultra-lightweight living structural material for enhanced stiffness and environmental sensing.Materials today. Bio · 2023Article
- Exploring internal structures and properties of terpolymer fibers via real-space characterizations.Beilstein journal of nanotechnology · 2023Article
- Enzymatic and Microbial Electrochemistry: Approaches and Methods.ACS measurement science au · 2022Review
- Review
- Mechanical Properties Evaluation of Polymer-Binding C-S-H Structure from Nanoscale to Macroscale: Hydroxyl-Terminated Polydimethylsiloxane (PDMS) Modified C-S-H.Materials (Basel, Switzerland) · 2022Article
- A Critical Review on the Sensing, Control, and Manipulation of Single Molecules on Optofluidic Devices.Micromachines · 2022Review
- Quantifying nanoscale forces using machine learning in dynamic atomic force microscopy.Nanoscale advances · 2022Article
- Applications and Techniques for Fast Machine Learning in Science.Frontiers in big data · 2022Review
- Quantitative Visualization of the Nanomechanical Young's Modulus of Soft Materials by Atomic Force Microscopy.Nanomaterials (Basel, Switzerland) · 2021Article
- Mapping mechanical properties of biological materials via an add-on Brillouin module to confocal microscopes.Nature protocols · 2021Article
- High-Speed Nanomechanical Mapping of the Early Stages of Collagen Growth by Bimodal Force Microscopy.ACS nano · 2021Article
- Multi-scale characterisation of a ferroelectric polymer reveals the emergence of a morphological phase transition driven by temperature.Nature communications · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fast, high-resolution mapping of heterogeneous interfaces with a wide elastic modulus range is a major goal of atomic force microscopy (AFM). This goal becomes more challenging when the nanomechanical mapping involves biomolecules in their native environment. Over the years, several AFM-based methods have been developed to address this goal. However, none of these methods combine sub-nanometer spatial resolution, quantitative accuracy, fast data acquisition speed, wide elastic modulus range and operation in physiological solutions. Here, we present detailed procedures for generating high-resolution maps of the elastic properties of biomolecules and polymers using bimodal AFM. This requires the simultaneous excitation of the first two eigenmodes of the cantilever. An amplitude modulation (AM) feedback acting on the first mode controls the tip-sample distance, and a frequency modulation (FM) feedback acts on the second mode. The method is fast because the elastic modulus, deformation and topography images are obtained simultaneously. The method is efficient because only a single data point per pixel is needed to generate the aforementioned images. The main stages of the bimodal imaging are sample preparation, calibration of the instrument, tuning of the microscope and generation of the nanomechanical maps. In addition, with knowledge of the deformation, bimodal AFM enables reconstruction of the true topography of the surface. It takes ~9 h to complete the whole procedure.
Indexed as
Identifiers
30446750What 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.