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Tilt-series-based joint CTF estimation for cryo-electron tomography.

Ranhao Zhang1, Yuan Shen2, Xueming Li3

  • 1Key Laboratory for Protein Sciences of Ministry of Education, School of Life Sciences, Tsinghua University, Beijing 100084, China; State Key Laboratory of Membrane Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China; Tsinghua-Peking Joint Center for Life Sciences, Beijing 100084, China; Beijing Frontier Research Center for Biological Structure, Beijing 100084, China; School of Life Sciences, Tsinghua University, Beijing 100084, China; Department of Electronic Engineering, Tsinghua University, Beijing 100084, China; Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China.

Structure (London, England : 1993)
|June 1, 2024
PubMed
Summary

Accurate contrast transfer function (CTF) estimation is crucial for cryo-electron tomography (cryoET). CTFMeasure software improves cryoET CTF estimation by jointly analyzing tilt series data, enhancing structural determination accuracy.

Keywords:
CTFCTF estimationabsolute tilt angle offsetcontrast transfer functioncryo-electron tomographytilt series

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Area of Science:

  • Cryo-electron tomography
  • Structural biology
  • Microscopy

Background:

  • Contrast transfer function (CTF) estimation is vital for high-resolution cryo-electron tomography (cryoET).
  • Accurate CTF estimation is challenging in cryoET due to low signal-to-noise ratios and defocus variations in tilt series.
  • Existing methods struggle with the complexities of cryoET data.

Purpose of the Study:

  • To develop and present a novel tilt-series-based joint CTF estimation method for cryoET.
  • To introduce CTFMeasure, a software tool implementing this joint estimation approach.
  • To enhance the accuracy of CTF estimation in cryoET workflows.

Main Methods:

  • Implemented a joint CTF estimation method that integrates Thon-ring signals across an entire cryoET tilt series.
  • Developed an objective function incorporating CTF and geometric parameters specific to cryoET tilt series.
  • Utilized CTFMeasure software for simultaneous estimation of CTF parameters and sample tilt angle offsets.

Main Results:

  • Demonstrated improved CTF estimation accuracy by combining information from all micrographs in a tilt series.
  • Successfully estimated both CTF parameters and absolute tilt angle offsets relative to the sample stage plane.
  • Validated the method's performance on synthetic and experimental cryoET data, including subtomogram averaging.

Conclusions:

  • CTFMeasure provides accurate CTF estimation for cryoET tilt series.
  • The joint estimation approach effectively addresses challenges posed by low signal-to-noise and defocus variations.
  • This method advances high-resolution in situ structural determination using cryoET.