ArticleBMC structural biology2011
DeStripe: frequency-based algorithm for removing stripe noises from AFM images.
Article in BMC structural biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
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- Lipopolysaccharide nanoparticles: A biomimetic platform to study bacterial surface.Biophysical journal · 2025Article
- Efficient Image Processing Technique for Detecting Spatio-Temporal Erosion in Boron Nitride Exposed to Iodine Plasma.Nanomaterials (Basel, Switzerland) · 2025Article
- Image post-processing for SILMAS: structured illumination light sheet microscopy with axial sweeping.Biomedical optics express · 2024Article
- Cryo-EM structure of influenza helical nucleocapsid reveals NP-NP and NP-RNA interactions as a model for the genome encapsidation.Science advances · 2023Article
- A two-stage framework for optical coherence tomography angiography image quality improvement.Frontiers in medicine · 2023Article
- Deep learning-based noise filtering toward millisecond order imaging by using scanning transmission electron microscopy.Scientific reports · 2022Article
- De novo determination of mosquitocidal Cry11Aa and Cry11Ba structures from naturally-occurring nanocrystals.Nature communications · 2022Article
- Visualizing the functional 3D shape and topography of long noncoding RNAs by single-particle atomic force microscopy and in-solution hydrodynamic techniques.Nature protocols · 2020Article
- Serial femtosecond crystallography on in vivo-grown crystals drives elucidation of mosquitocidal Cyt1Aa bioactivation cascade.Nature communications · 2020Article
- Conserved Pseudoknots in lncRNA MEG3 Are Essential for Stimulation of the p53 Pathway.Molecular cell · 2019Article
- Advanced measurement and diagnosis of the effect on the underlayer roughness for industrial standard metrology.Scientific reports · 2019Article
- Article
- Structural and Functional Characterization of the Type Three Secretion System (T3SS) Needle ofFrontiers in microbiology · 2019Article
- On the Operational Aspects of Measuring Nanoparticle Sizes.Nanomaterials (Basel, Switzerland) · 2018Article
- Combined small angle X-ray solution scattering with atomic force microscopy for characterizing radiation damage on biological macromolecules.BMC structural biology · 2016Article
- Computational reconstruction of multidomain proteins using atomic force microscopy data.Structure (London, England : 1993) · 2012Article
- Large-scale analysis of high-speed atomic force microscopy data sets using adaptive image processing.Beilstein journal of nanotechnology · 2012Article
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundAtomic force microscopy (AFM) is a relatively recently developed technique that shows a promising impact in the field of structural biology and biophysics. It has been used to image the molecular surface of membrane proteins at a lateral resolution of one nanometer or less. An immediate obstacle of characterizing surface features in AFM images is stripe noise. To better interpret structures at a sub-domain level, pre-processing of AFM images for removing stripe noises is necessary. Noise removal can be performed in either spatial or frequency domain. However, denoising processing in the frequency domain is a better solution for preserving edge sharpness.
resultsWe have developed a denoising protocol, called DeStripe, for AFM bio-molecular images that are contaminated with heavy and fine stripes. This program adopts a divide-and-conquer approach by dividing the Fourier spectrum of the image into central and off-center regions for noisy pixels detection and intensity restoration; it is also applicable to other images interfered with high-density stripes such as those acquired by the scanning electron microscope. The denoising effect brought by DeStripe provides better visualization for image objects without introducing additional artifacts into the restored image.
conclusionsThe DeStripe denoising effect on AFM images is illustrated in the present work. It allows extracting extended information from the topographic measurements and implicitly enhances the molecular features in the image. All the presented images were processed by DeStripe with the raw image as the only input without any requirement for other prior information. A web service, http://biodev.cea.fr/destripe, is available for running DeStripe.
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