ArticleBeilstein journal of nanotechnology2012
Large-scale analysis of high-speed atomic force microscopy data sets using adaptive image processing.
Article in Beilstein journal of nanotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed.
- Deep learning for enhancement of low-resolution and noisy scanning probe microscopy images.Beilstein journal of nanotechnology · 2025Article
- The role of convolutional neural networks in scanning probe microscopy: a review.Beilstein journal of nanotechnology · 2021Review
- High-speed photothermal off-resonance atomic force microscopy reveals assembly routes of centriolar scaffold protein SAS-6.Nature nanotechnology · 2018Article
- Division site selection linked to inherited cell surface wave troughs in mycobacteria.Nature microbiology · 2017Article
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Authors and funding
5 authors.
Funding
Abstract
Modern high-speed atomic force microscopes generate significant quantities of data in a short amount of time. Each image in the sequence has to be processed quickly and accurately in order to obtain a true representation of the sample and its changes over time. This paper presents an automated, adaptive algorithm for the required processing of AFM images. The algorithm adaptively corrects for both common one-dimensional distortions as well as the most common two-dimensional distortions. This method uses an iterative thresholded processing algorithm for rapid and accurate separation of background and surface topography. This separation prevents artificial bias from topographic features and ensures the best possible coherence between the different images in a sequence. This method is equally applicable to all channels of AFM data, and can process images in seconds.
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Registered trials
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