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Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition
Published on: March 19, 2021
Cryo automated electron tomography: towards high-resolution reconstructions of plastic-embedded structures
M B Braunfeld1, A J Koster, J W Sedat
1Howard Hughes Medical Institute, University of California at San Francisco 94143-0448.
Journal of Microscopy
|May 1, 1994
Summary
Automated electron tomography reduces beam dose but can cause shrinkage due to illumination patterns. Cryogenic data collection with minimal pre-irradiation is key for high-resolution 3D reconstructions.
Area of Science:
- Electron microscopy
- Biophysical techniques
- Materials science
Background:
- Automated data collection in electron tomography significantly lowers beam dose.
- Optimizing data collection protocols is crucial for self-consistency and high resolution.
- Understanding beam damage and specimen shrinkage is vital for accurate 3D reconstructions.
Purpose of the Study:
- To develop new protocols for automated electron tomography data collection.
- To quantify beam damage and identify beam-stable embedding media.
- To investigate methods for minimizing specimen shrinkage during data acquisition.
Main Methods:
- Examined effects of irradiation and microwave post-curing on Epon, Epox, and Lowicryl embedding media.
- Quantified beam damage and specimen shrinkage under various conditions.
- Investigated cryogenic data collection to mitigate radiation damage.
Main Results:
- Substantial dose reduction did not significantly decrease specimen shrinkage, even with pre-irradiation.
- Shrinkage is likely caused by stroboscopic illumination patterns in automated collection.
- Embedding resin choice and microwave post-curing had minimal impact on shrinkage.
- Cryogenic data collection with minimal pre-irradiation greatly reduced shrinkage.
Conclusions:
- Automated data collection's illumination patterns can accelerate specimen shrinkage.
- Cryogenic conditions are effective in minimizing radiation damage and shrinkage.
- Low-temperature automated data collection offers a promising approach for high-quality 3D reconstructions.
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