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Multiscale imaging of RNA virus: bridging structural mapping and functional insights
Wan-Ting He1, Zhi-Wen Jiang2, Michael Veit3
1State Key Laboratory of Natural Medicines, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Trends in Microbiology
|January 8, 2026
Summary
Advanced imaging techniques are crucial for studying RNA viruses like SARS-CoV-2. This review explores multiscale imaging to understand viral pathogenesis and develop countermeasures.
Area of Science:
- Virology
- Microscopy
- Pathogenesis
Background:
- RNA viruses, including SARS-CoV-2, present significant global health challenges due to rapid mutation and host adaptability.
- Understanding viral structures, infection mechanisms, and host interactions is vital for developing effective countermeasures.
- Existing imaging techniques like cryo-electron microscopy and super-resolution microscopy offer valuable insights but have limitations in field of view or resolution.
Purpose of the Study:
- To review recent advancements in multiscale imaging for RNA virus studies.
- To highlight integrated imaging approaches for understanding RNA virus pathogenesis.
- To bridge structural mapping with functional insights across different biological scales.
Main Methods:
- Examination of cryo-electron tomography for high-resolution structural analysis.
- Review of correlative multiscale imaging techniques.
- Analysis of imaging progress across molecular, cellular, and tissue scales.
Main Results:
- Integrated multiscale imaging approaches are emerging to overcome limitations of individual techniques.
- Advances in cryo-electron tomography and correlative imaging provide deeper insights into viral processes.
- Multiscale imaging links high-resolution structural data with broader biological context.
Conclusions:
- Multiscale imaging is essential for comprehensive studies of RNA virus pathogenesis.
- Advanced imaging tools accelerate the development of timely antiviral countermeasures.
- Integrating molecular, cellular, and tissue-level imaging provides a holistic view of virus-host dynamics.
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