ArticleNanoscale2018
Tracking fast cellular membrane dynamics with sub-nm accuracy in the normal direction.
Article in Nanoscale, 2018. 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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- In Situ and Label-Free Quantification of Membrane Protein-Ligand Interactions Using Optical Imaging Techniques: A Review.Biosensors · 2024Review
- Recent advances in surface plasmon resonance for the detection of ovarian cancer biomarkers: a thorough review.Mikrochimica acta · 2024Review
- Comparison of thermal and athermal dynamics of the cell membrane slope fluctuations in the presence and absence of Latrunculin-B.Physical biology · 2023Article
- Optical Imaging of Electrical and Mechanical Couplings between Cells.ACS sensors · 2021Article
- Article
- Surface Plasmon Resonance Microscopy: From Single-Molecule Sensing to Single-Cell Imaging.Angewandte Chemie (International ed. in English) · 2020Review
- Plasmonic imaging of subcellular electromechanical deformation in mammalian cells.Journal of biomedical optics · 2019Article
- Interferometric plasmonic imaging and detection of single exosomes.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Cellular membranes are important biomaterials with highly dynamic structures. Membrane dynamics plays an important role in numerous cellular processes, but precise tracking it is challenging due to the lack of tools with a highly sensitive and fast detection capability. Here we demonstrate a broad bandwidth optical imaging technique to measure cellular membrane displacements in the normal direction at sub-nm level detection limits and 20 μs temporal resolution (1 Hz-50 kHz). This capability allows us to study the intrinsic cellular membrane dynamics over a broad temporal and spatial spectrum. We measured the nanometer-scale stochastic fluctuations of the plasma membrane of HEK-293 cells, and found them to be highly dependent on the cytoskeletal structure of the cells. By analyzing the fluctuations, we further determine the mechanical properties of the cellular membranes. We anticipate that the method will contribute to the understanding of the basic cellular processes, and applications, such as mechanical phenotyping of cells at the single-cell level.
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Registered trials
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