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Microscopy in Infectious Disease Research-Imaging Across Scales
1Department of Infectious Diseases, Virology, University of Heidelberg, Germany; German Center for Infection Research, partner site Heidelberg, Germany.
Journal of Molecular Biology
|June 17, 2018
Summary
Microscopy is crucial for understanding infectious diseases by quantitatively assessing molecular events. Advancements in imaging, computing, and machine learning will accelerate discoveries in host-pathogen interactions and clinical applications.
Area of Science:
- Biomedical Research
- Infectious Disease Research
- Microscopy
Background:
- Understanding host-pathogen interactions requires quantitative assessment of molecular events.
- Microscopy is essential for achieving this across diverse scales.
- Recent technical developments enable advanced imaging capabilities.
Purpose of the Study:
- To provide a perspective on the importance of microscopy in infectious disease research.
- To highlight new imaging modalities impacting biomedical research.
- To discuss the role of computing and machine learning in bioimage analysis.
Main Methods:
- Review of microscopy advancements and their impact.
- Focus on novel imaging modalities.
- Integration of computing and information technologies.
- Application of machine learning in bioimage acquisition and analysis.
Main Results:
- Microscopy is currently the primary method for quantitative assessment of molecular events in host-pathogen interactions.
- New imaging modalities, supported by computing, are emerging.
- Machine learning enhances automation and objectivity in bioimage analysis.
Conclusions:
- Microscopy is indispensable for advancing infectious disease research.
- The synergy of novel imaging, machine learning, and model systems will accelerate breakthroughs.
- This integration promises significant impact from basic research to clinical applications.
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