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Quantitative comparison of zero-loss and conventional electron diffraction from two-dimensional and thin
Koji Yonekura1, Saori Maki-Yonekura, Keiichi Namba
1Protonic NanoMachine Project, ERATO, JST, 3-4 Hikaridai, Seika 619-0237, Japan.
Biophysical Journal
|April 20, 2002
Summary
Energy filtering significantly improves electron crystallography data quality by removing inelastic scattering. This technique enhances structural analysis of biological macromolecules, even for thin crystals.
Area of Science:
- Structural biology
- Electron crystallography
- Biophysics
Background:
- Electron crystallography offers higher resolution for biological macromolecules than X-ray crystallography due to larger scattering cross-sections.
- Inelastic electron scattering poses a significant challenge, degrading data quality in electron crystallography.
- Smaller and thinner protein crystals are viable for electron crystallography, enabling analysis of challenging samples.
Purpose of the Study:
- To evaluate the impact of energy filtering on electron diffraction data quality.
- To assess the effectiveness of removing inelastically scattered electrons for structural analysis.
- To determine the utility of energy filtering for both 2-D and 3-D crystal datasets.
Main Methods:
- Collected electron diffraction data from thin 3-D and 2-D protein crystals at 93 K.
- Utilized an energy filtering electron microscope operating at 200 kV accelerating voltage.
- Analyzed data with and without energy filtering to assess the removal of inelastically scattered electrons.
Main Results:
- Removal of inelastically scattered electrons significantly improved intensity data statistics and R(Friedel) factor up to 3-Å resolution.
- Energy filtering demonstrated a prominent effect on thicker crystals and was also significant for thin crystals.
- Filtered data sets exhibited superior intensity statistics compared to unfiltered data collected at higher voltage (300 kV) and lower temperature (4 K).
Conclusions:
- Energy filtering is an effective tool for enhancing electron crystallography data quality.
- This technique is particularly valuable for the structure analysis of thin 3-D and 2-D crystals.
- Energy filtering improves data statistics, especially when data are collected at high tilt angles.