ArticleBiophysics and physicobiology2022
Practical considerations for feature assignment in high-speed AFM of live cell membranes.
Article in Biophysics and physicobiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Equations describing semi-confluent cell growth (II) colony formation on a flat surface.European biophysics journal : EBJ · 2025Article
- AFM for Studying the Functional Activity of Enzymes.Biomolecules · 2025Review
- Article
- Simulating biological surface dynamics in high-speed atomic force microscopy experiments.Biophysical reviews · 2023Article
- Technical advances in high-speed atomic force microscopy.Biophysical reviews · 2023Review
- Computational biophysics of atomic force microscopy-an IUPAB-sponsored workshop.Biophysical reviews · 2023Article
- Spatiotemporal resolution in high-speed atomic force microscopy for studying biological macromolecules in action.Microscopy (Oxford, England) · 2023Review
- Biophysical Reviews: Publishing short and critical reviews written by key figures in the field.Biophysical reviews · 2022Article
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Authors and funding
2 authors at 1 institution in 2 countries.
Funding
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Abstract
High speed atomic force microscopy (HS-AFM) is, in principle, capable of yielding nanometer level detail about the surface of static structures. However, for highly dynamic samples HS-AFM may struggle with the correct feature assignment both within and between frames. Feature assignment in HS-AFM is dependent on (i) the intrinsic sampling rate, and (ii) the rate of internal redistribution of the sample. Whilst the first quantity (the sampling rate) is defined by the device parameters, the second quantity is frequently unknown, and is often the desired target of the measurement. This work examines how, even in the absence of gross cell morphological change, the rapid dynamics of living cell membranes, may impose an upper spatial limit to the frame-to-frame assignment of cell micro-topography and other related properties (such as local elasticity) whose motion may be described stochastically. Such a practical maximum may prove useful in the setup of HS-AFM experiments involving dynamic surfaces thereby facilitating selection of the most parsimonious relationship between observation size, image pixilation and sampling rates. To assist with performing the described calculations a graphical user interface-based software package called HS-AFM UGOKU is made freely available.
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