BOOST: a robust ten-fold expansion method on hour-scale Article Swipe
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1038/s41467-025-57350-3
Expansion microscopy enhances the microscopy resolution by physically expanding biological specimens and improves the visualization of structural and molecular details. Numerous expansion microscopy techniques and labeling methods have been developed over the past decade to cater to specific research needs. Nonetheless, a shared limitation among current protocols is the extensive sample processing time, particularly for challenging-to-expand biological specimens (e.g., formalin-fixed paraffin-embedded (FFPE) sections and large three-dimensional specimens). Here we present BOOST, a rapid and robust expansion microscopy workflow that leverages a series of microwave-accelerated expansion microscopy chemistry. Specifically, BOOST enables a single-step 10-fold expansion of cultured cells, tissue sections, and even the challenging-to-expand FFPE sections under 90 minutes. Notably, BOOST pioneers a 10-fold expansion of large millimeter-sized three-dimensional specimens, previously unattainable to the best of our knowledge. The workflow is also easily adaptable based on stable and common reagents, thus boosting the potential adoption of expansion microscopy for applications.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41467-025-57350-3
- https://www.nature.com/articles/s41467-025-57350-3.pdf
- OA Status
- gold
- Cited By
- 2
- References
- 49
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4408082796Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41467-025-57350-3Digital Object Identifier
- Title
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BOOST: a robust ten-fold expansion method on hour-scaleWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-03-02Full publication date if available
- Authors
-
JinYu Guo, Hui Yang, Chixiang Lu, Di Cui, M. G. Zhao, Cun Li, Weihua Chen, Qian Yang, Zhijie Li, Mingkun Chen, Shan‐Chao Zhao, Jie Zhou, Jiaye He, Haibo JiangList of authors in order
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https://doi.org/10.1038/s41467-025-57350-3Publisher landing page
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https://www.nature.com/articles/s41467-025-57350-3.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.nature.com/articles/s41467-025-57350-3.pdfDirect OA link when available
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Fold (higher-order function), Computer science, Computational biology, Biology, Programming languageTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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49Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.limitation | 43 |
| abstract_inverted_index.microscopy | 1, 4, 22, 76, 85, 146 |
| abstract_inverted_index.physically | 7 |
| abstract_inverted_index.previously | 119 |
| abstract_inverted_index.processing | 51 |
| abstract_inverted_index.resolution | 5 |
| abstract_inverted_index.specimens, | 118 |
| abstract_inverted_index.structural | 16 |
| abstract_inverted_index.techniques | 23 |
| abstract_inverted_index.single-step | 91 |
| abstract_inverted_index.specimens). | 66 |
| abstract_inverted_index.Nonetheless, | 40 |
| abstract_inverted_index.particularly | 53 |
| abstract_inverted_index.unattainable | 120 |
| abstract_inverted_index.Specifically, | 87 |
| abstract_inverted_index.applications. | 148 |
| abstract_inverted_index.visualization | 14 |
| abstract_inverted_index.formalin-fixed | 59 |
| abstract_inverted_index.millimeter-sized | 116 |
| abstract_inverted_index.paraffin-embedded | 60 |
| abstract_inverted_index.three-dimensional | 65, 117 |
| abstract_inverted_index.challenging-to-expand | 55, 102 |
| abstract_inverted_index.microwave-accelerated | 83 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 14 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.6700000166893005 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.94216368 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |