ArticleScientific reports2018
The Hessian Blob Algorithm: Precise Particle Detection in Atomic Force Microscopy Imagery.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Laplacian of Gaussian for Fast Cell Detection and Segmentation in Cervical Cytology to Help in Cancer Diagnosis.Cureus · 2025Article
- Atomic-Scale Insights into the 2D Materials from Aberration-Corrected Scanning Transmission Electron Microscopy: Progress and Future.Small science · 2024Article
- Functional and molecular profiling of fasted piglets reveals decreased energy metabolic function and cell proliferation in the small intestine.American journal of physiology. Gastrointestinal and liver physiology · 2023Article
- Drug-Induced Conformational Dynamics of P-Glycoprotein Underlies the Transport of Camptothecin Analogs.International journal of molecular sciences · 2023Article
- Advantages and potential limitations of applying AFM kymograph analysis to pharmaceutically relevant membrane proteins in lipid bilayers.Scientific reports · 2023Article
- Atomic Force Microscopy Reveals Complexity Underlying General Secretory System Activity.International journal of molecular sciences · 2022Review
- Development of hidden Markov modeling method for molecular orientations and structure estimation from high-speed atomic force microscopy time-series images.PLoS computational biology · 2022Article
- TheeLife · 2022Article
- Scale space detector for analyzing spatiotemporal ventricular contractility and nuclear morphogenesis in zebrafish.iScience · 2022Article
- Comparative Dissemination of Aerosol and Splatter Using Suction Device during Ultrasonic Scaling: A Pilot Study.Dentistry journal · 2022Article
- HARLEY mitigates user bias and facilitates efficient quantification and co-localization analyses of foci in yeast fluorescence images.Scientific reports · 2022Article
- AI-based atomic force microscopy image analysis allows to predict electrochemical impedance spectra of defects in tethered bilayer membranes.Scientific reports · 2022Article
- Atomic force microscopy for quantitative understanding of peptide-induced lipid bilayer remodeling.Methods (San Diego, Calif.) · 2022Article
- Controllable membrane remodeling by a modified fragment of the apoptotic protein Bax.Faraday discussions · 2021Article
- Optimizing the geometry of aerodynamic lens injectors for single-particle coherent diffractive imaging of gold nanoparticles.Journal of applied crystallography · 2021Article
- A Comparative Study of Automatic Localization Algorithms for Spherical Markers within 3D MRI Data.Brain sciences · 2021Article
- Atomic Force Microscopy Reveals Membrane Protein Activity at the Single Molecule Level.Methods in molecular biology (Clifton, N.J.) · 2021Article
- The effects of anthracycline drugs on the conformational distribution of mouse P-glycoprotein explains their transport rate differences.Biochemical pharmacology · 2020Article
- Quaternary structure of the small amino acid transporter OprG fromThe Journal of biological chemistry · 2018Article
- The conformation and dynamics of P-glycoprotein in a lipid bilayer investigated by atomic force microscopy.Biochemical pharmacology · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Imaging by atomic force microscopy (AFM) offers high-resolution descriptions of many biological systems; however, regardless of resolution, conclusions drawn from AFM images are only as robust as the analysis leading to those conclusions. Vital to the analysis of biomolecules in AFM imagery is the initial detection of individual particles from large-scale images. Threshold and watershed algorithms are conventional for automatic particle detection but demand manual image preprocessing and produce particle boundaries which deform as a function of user-defined parameters, producing imprecise results subject to bias. Here, we introduce the Hessian blob to address these shortcomings. Combining a scale-space framework with measures of local image curvature, the Hessian blob formally defines particle centers and their boundaries, both to subpixel precision. Resulting particle boundaries are independent of user defined parameters, with no image preprocessing required. We demonstrate through direct comparison that the Hessian blob algorithm more accurately detects biomolecules than conventional AFM particle detection techniques. Furthermore, the algorithm proves largely insensitive to common imaging artifacts and noise, delivering a stable framework for particle analysis in AFM.
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Registered trials
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