ArticleScience advances2020
Automated structure discovery in atomic force microscopy.
Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
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Who cites it
32 citing papers in PubMed.
- A drift-aware framework for reliability assessment and image-based interpretation of atomic force microscopy measurements.Journal of microscopy · 2026Article
- Artificial Intelligence-Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Automating Model Building for SPM Images of Biomolecules Using MISO.Journal of chemical information and modeling · 2026Article
- Self-Driving Scanning Probe Microscopy: From Acceleration to Discovery and Manipulation.Accounts of chemical research · 2026Article
- Uncertainty aware machine learning for bridging simulation and experiment in high throughput materials characterization.Scientific reports · 2026Article
- Synthetic data-driven deep learning for label-free autonomous atomic force microscopy.Nature communications · 2026Article
- Residual Chemical Shift Anisotropies in the Structure Determination of Small Molecules.Magnetic resonance in chemistry : MRC · 2026Review
- UniMR: A Plug-and-Play Framework of Automated Molecular Recognition for Scanning Tunneling Microscopy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Atomic Force Microscopy for Cross-Disciplinary Materials Research.Small methods · 2025Review
- Analysis of biofilm assembly by large area automated AFM.NPJ biofilms and microbiomes · 2025Article
- Direct Imaging of Chirality Transfer Induced by Glycosidic Bond Stereochemistry in Carbohydrate Self-Assemblies.Journal of the American Chemical Society · 2025Article
- Molecular identification via molecular fingerprint extraction from atomic force microscopy images.Journal of cheminformatics · 2024Article
- Scanning Probe Microscopy Characterization of Biomolecules enabled by Mass-Selective, Soft-landing Electrospray Ion Beam Deposition.Chemphyschem : a European journal of chemical physics and physical chemistry · 2024Article
- Benchmarking Unsupervised Clustering Algorithms for Atomic Force Microscopy Data on Polyhydroxyalkanoate Films.ACS omega · 2024Article
- Article
- On machine learning analysis of atomic force microscopy images for image classification, sample surface recognition.Physical chemistry chemical physics : PCCP · 2024Review
- Article
- Atomically Precise Imprinting π-Magnetism in Nanographenes via Probe Chemistry.Precision chemistry · 2023Review
- Direct observation of glycans bonded to proteins and lipids at the single-molecule level.Science (New York, N.Y.) · 2023Article
- Applying a Deep-Learning-Based Keypoint Detection in Analyzing Surface Nanostructures.Molecules (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Atomic force microscopy (AFM) with molecule-functionalized tips has emerged as the primary experimental technique for probing the atomic structure of organic molecules on surfaces. Most experiments have been limited to nearly planar aromatic molecules due to difficulties with interpretation of highly distorted AFM images originating from nonplanar molecules. Here, we develop a deep learning infrastructure that matches a set of AFM images with a unique descriptor characterizing the molecular configuration, allowing us to predict the molecular structure directly. We apply this methodology to resolve several distinct adsorption configurations of 1
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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.