Random conical tilt reconstruction without particle picking in cryo-electron microscopy

Abstract

A method is proposed to reconstruct the 3D molecular structure from micrographs collected at just one sample tilt angle in the random conical tilt scheme in cryo-electron microscopy. The method uses autocorrelation analysis on the micrographs to estimate features of the molecule which are invariant under certain nuisance parameters such as the positions of molecular projections in the micrographs. This enables the molecular structure to be reconstructed directly from micrographs, completely circumventing the need for particle picking. Reconstructions are demonstrated with simulated data and the effect of the missing-cone region is investigated. These results show promise to reduce the size limit for single-particle reconstruction in cryo-electron microscopy.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 24, 2022
Source ID
10.1107/s2053273322005071

Entities

People

  • Amit Singer
  • Nicolas Boumal
  • Ti-Yen Lan

Organizations

  • Air Force Office of Scientific Research
  • National Institutes of Health
  • National Science Foundation
  • Princeton University
  • Simons Foundation

Tags

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.
  • Surface Coatings Technology.

Technology Areas

  • Microelectronics