ArticleBiophysical reviews2023
Simulating biological surface dynamics in high-speed atomic force microscopy experiments.
Article in Biophysical reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
- Equations describing semi-confluent cell growth (II) colony formation on a flat surface.European biophysics journal : EBJ · 2025Article
- Article
- Computational biophysics of atomic force microscopy-an IUPAB-sponsored workshop.Biophysical reviews · 2023Article
- Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-speed atomic force microscopy (HSAFM) is an important tool for studying the dynamic behavior of large biomolecular assemblies at surfaces. However, unlike light microscopy techniques, which visualize each point in the field of view at the same time, in HSAFM, the surface is literally imaged pixel-by-pixel with a variable extent of time separation existing between recordings made at one pixel and all others within the surface image. Such "temporal asynchronicity" in the recording of the spatial information can introduce distortions into the image when the surface components move at a rate comparable to that at which the surface is imaged. This Letter describes recently released software developments that are able to predict the likely form of these distortions and estimate confidence levels when assigning the identity of observed structures. These described approaches may facilitate both the design and optimization of future HSAFM experimental protocols. Further to this, they may assist in the interpretation of results from already published HSAFM studies.
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Registered trials
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