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Imaging Crystals, Polymers, and Processes in Water with the Atomic Force Microscope
Abstract
The atomic force microscope (AFM) can be used to image the surface of both conductors and nonconductors even if they are covered with water or aqueous solutions. An AFM was used that combines microfabricated cantilevers with a previously described optical lever system to monitor deflection. Images of mica demonstrate that atomic resolution is possible on rigid materials, thus opening the possibility of atomic-scale corrosion experiments on nonconductors. Images of polyalanine, an amino acid polymer, show the potential of the AFM for revealing the structure of molecules important in biology and medicine. Finally, a series of ten images of the polymerization of fibrin, the basic component of blood clots, illustrate the potential of the AFM for revealing subtle details of biological processes as they occur in real time.
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Citations
Cited by
Atomic force microscopy of DNA in aqueous solutions
Hansma, H. G., Bezanilla, M., Zenhausern, F., Adrian, M., & Sinsheimer, R. L. (1993) · Nucleic Acids Research · doi:10.1093/nar/21.3.505 · Cited by 207
Vertebrate Membrane Proteins: Structure, Function, and Insights from Biophysical Approaches
Müller, D. J., Wu, N., & Palczewski, K. (2008) · Pharmacological Reviews · doi:10.1124/pr.107.07111 · Cited by 104
Preparation of DNA and nucleoprotein samples for AFM imaging
Lyubchenko, Y. L. (2011) · Micron · doi:10.1016/j.micron.2010.08.011 · Cited by 93
Metadata
- Authors
- Drake, B., Prater, C. B., Weisenhorn, A. L., Gould, S. A. C., Albrecht, T. R., Quate, C. F., Cannell, D. S., Hansma, H. G., & Hansma, P. K.
- Venue
- Science
- Published
- 1989-03-24
- Volume
- 243
- Issue
- 4898
- Pages
- 1586-1589
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2013854174
- Cited by
- 1,033
- References
- 0
- FWCI
- 33.26
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
