Seeing beyond the limit: A guide to choosing the right super-resolution microscopy technique
Open accessAbstract
Super-resolution microscopy has become an increasingly popular and robust tool across the life sciences to study minute cellular structures and processes. However, with the increasing number of available super-resolution techniques has come an increased complexity and burden of choice in planning imaging experiments. Choosing the right super-resolution technique to answer a given biological question is vital for understanding and interpreting biological relevance. This is an often-neglected and complex task that should take into account well-defined criteria (e.g., sample type, structure size, imaging requirements). Trade-offs in different imaging capabilities are inevitable; thus, many researchers still find it challenging to select the most suitable technique that will best answer their biological question. This review aims to provide an overview and clarify the concepts underlying the most commonly available super-resolution techniques as well as guide researchers through all aspects that should be considered before opting for a given technique.
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Super-resolution microscopy permits imaging cellular compartments at a resolution beyond the diffraction limit of light (<200 nm).
“Super-resolution microscopy has emerged as having great potential to investigate biological samples at unprecedented levels of detail, as new and powerful fluorescence-based methods now permit imaging cellular compartments at a resolution beyond that of the diffraction limit of light (<200 nm).”
From Spatial mapping of cellular senescence: emerging challenges and opportunities (2023) · cites this paper as [32]
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Flagged first, then by citations
Research works printed but not linked: 1
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Cited by
Sorted by citations
Spatial mapping of cellular senescence: emerging challenges and opportunities
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- Authors
- Valli, J., Garcia-Burgos, A., Rooney, L. M., Vale de Melo e Oliveira, B., Duncan, R. R., & Rickman, C.
- Affiliations
- Heriot-Watt University (GB)
- Corresponding author
- Valli, Jessica
- Rickman, Colin
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 297
- Issue
- 1
- Pages
- 100791
- ISSN
- 0021-9258 (ISSN-L)
- PMC
- PMC8246591
- OpenAlex
- W3162006952
- Cited by
- 159
- References
- 127
- Citations by year
- 2026: 20 · 2025: 32 · 2024: 42 · 2023: 32 · 2022: 26 · 2021: 7
- FWCI
- 3.61
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Biological Chemistry (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University) (acceptedVersion)
- Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) (submittedVersion, other-oa)
- Funders
- Medical Research Scotland
- Wellcome Trust (215599/Z/19/Z., 208345/Z/17/Z. LMR)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Advanced Fluorescence Microscopy Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Force Microscopy Techniques and Applications
- Keywords
- super-resolution microscopy, technique selection, sample type, structural resolution, cellular structures, bioimaging
- MeSH terms
- Animals, Cell Survival, Fluorescent Dyes, Humans, Microscopy, Molecular Dynamics Simulation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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