Soft X-ray tomography has evolved into a powerful tool for revealing cell structures
Over the past three decades, soft X-ray tomography (SXT) has rapidly evolved from a proof-of-concept microscopy method into a high-throughput quantitative imaging modality. This advancement enables researchers to address central questions in cell biology. Despite its relatively short developmental p...
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| Hauptverfasser: | , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
March 3, 2025
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| In: |
Annual review of analytical chemistry
Year: 2025, Jahrgang: 18, Pages: 427-446 |
| ISSN: | 1936-1335 |
| DOI: | 10.1146/annurev-anchem-071124-093849 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1146/annurev-anchem-071124-093849 Verlag, kostenfrei, Volltext: https://www.annualreviews.org/content/journals/10.1146/annurev-anchem-071124-093849 
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| Verfasserangaben: | Venera Weinhardt and Carolyn Larabell |
| Zusammenfassung: | Over the past three decades, soft X-ray tomography (SXT) has rapidly evolved from a proof-of-concept microscopy method into a high-throughput quantitative imaging modality. This advancement enables researchers to address central questions in cell biology. Despite its relatively short developmental period compared to light and electron microscopy, SXT has emerged as a powerful imaging technology. It enables measuring chemical changes in cellular organelles, analyzing three-dimensional structures of whole cells and creating digital cellular models to study cell motility. We discuss the unique nature of SXT to visualize cells without fixation or labeling, enabling quantitative analyses of organelle chemical composition. We explore SXT microscopes available worldwide, SXT segmentation software, and the diverse cell types studied using this technique. We conclude with emerging directions in SXT imaging, including a brief discussion of recent discoveries that are highly influential and likely to become integral to cell biology textbooks. |
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| Beschreibung: | Gesehen am 29.10.2025 |
| Beschreibung: | Online Resource |
| ISSN: | 1936-1335 |
| DOI: | 10.1146/annurev-anchem-071124-093849 |