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How innovations in methodology offer new prospects for volume electron microscopy
Arent J Kievits1, Ryan Lane1, Elizabeth C Carroll1
1Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands.
Recent advances in volume electron microscopy (volume EM) enable high-resolution 3D imaging of large biological samples. This review discusses emerging methods and challenges in sample preparation, image analysis, and data management for this powerful technique.
Area of Science:
- Biological imaging
- Structural biology
- Nanotechnology
Background:
- Detailed biological structure knowledge is crucial for understanding biological organization from organs to proteins.
- Volume electron microscopy (volume EM) offers high-resolution 3D structural insights into tissues at the nanometer scale.
- Conventional electron microscopy throughput has historically limited sample size and quantity.
Purpose of the Study:
- To review recent trends and advancements in volume electron microscopy.
- To discuss emerging methods for increasing throughput in volume EM.
- To highlight implications for sample preparation, image analysis, and data management.
Main Methods:
- Review of recent literature on volume electron microscopy advancements.
- Discussion of new methodologies in image acquisition and data processing.
- Analysis of bottlenecks in the volume EM pipeline.
Main Results:
- Methodological improvements are revolutionizing volume EM, enabling imaging of whole organs and small organisms.
- Increased image acquisition throughput has created challenges in sample preparation, image analysis, and data management.
- Significant progress has been made in automated image analysis and annotation tools.
Conclusions:
- Volume EM is rapidly advancing, offering unprecedented structural insights.
- Addressing bottlenecks in sample preparation, analysis, and data management is crucial for realizing the full potential of volume EM.
- Future developments will likely focus on further increasing throughput and improving data handling for large-scale 3D biological imaging.
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