The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Single-molecule localization microscopy
Open accessAbstract
Single-molecule localization microscopy (SMLM) describes a family of powerful imaging techniques that dramatically improve spatial resolution over standard, diffraction-limited microscopy techniques and can image biological structures at the molecular scale. In SMLM, individual fluorescent molecules are computationally localized from diffraction-limited image sequences and the localizations are used to generate a super-resolution image or a time course of super-resolution images, or to define molecular trajectories. In this Primer, we introduce the basic principles of SMLM techniques before describing the main experimental considerations when performing SMLM, including fluorescent labelling, sample preparation, hardware requirements and image acquisition in fixed and live cells. We then explain how low-resolution image sequences are computationally processed to reconstruct super-resolution images and/or extract quantitative information, and highlight a selection of biological discoveries enabled by SMLM and closely related methods. We discuss some of the main limitations and potential artefacts of SMLM, as well as ways to alleviate them. Finally, we present an outlook on advanced techniques and promising new developments in the fast-evolving field of SMLM. We hope that this Primer will be a useful reference for both newcomers and practitioners of SMLM. This Primer explains the central concepts of single-molecule localization microscopy (SMLM) before discussing experimental considerations regarding fluorophores, optics and data acquisition, processing and analysis. The Primer further describes recent high-impact discoveries made by SMLM techniques and concludes by discussing emerging methodologies.
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How to build the virtual cell with artificial intelligence: Priorities and opportunities
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“68,69 Complementing imaging approaches, mass spectrometry, and proximity-dependent labeling can unveil protein-protein associations and provide deeper insights into cell structure and signaling network rewiring.”
De-centralizing the Central Dogma: mRNA translation in space and time
Bourke, A. M., Schwarz, A., & Schuman, E. M. (2023) · Molecular Cell · doi:10.1016/j.molcel.2022.12.030 · Cited by 106
One-step nanoscale expansion microscopy reveals individual protein shapes
Shaib, A. H., Chouaib, A. A., Chowdhury, R., Altendorf, J., Mihaylov, D., Zhang, C., Krah, D., Imani, V., Spencer, R. K. W., Georgiev, S. V., et al. (2025) · Nature Biotechnology · doi:10.1038/s41587-024-02431-9 · Cited by 104
Self-citationLive-cell imaging powered by computation
Shroff, H., Testa, I., Jug, F., & Manley, S. (2024) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-024-00702-6 · Cited by 75
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Metadata
- Authors
- Lelek, M., Gyparaki, M. T., Beliu, G., Schueder, F., Griffié, J., Manley, S., Jungmann, R., Sauer, M., Lakadamyali, M., & Zimmer, C.
- Venue
- Nature Reviews Methods Primers
- Published
- 2021-06-03
- Volume
- 1
- Issue
- 1
- ISSN
- 2662-8449 (ISSN-L)
- OpenAlex
- W3167557279
- Cited by
- 954
- References
- 8
- FWCI
- 16.24
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Lelek, M., Gyparaki, M. T., Beliu, G., Schueder, F., Griffié, J., Manley, S., Jungmann, R., Sauer, M., Lakadamyali, M., & Zimmer, C. (2021). Single-molecule localization microscopy. Nature Reviews Methods Primers. https://doi.org/10.1038/s43586-021-00038-x
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