henhaobio
Sign in

Nature MethodsCell BiologyPeer-reviewed journal article

Dose-Efficient Cryo-Electron Microscopy for Thick Samples using Tilt-Corrected Scanning Transmission Electron Microscopy, Demonstrated on Cells and Single Particles

Yue Eric YuiD, Katherine A. SpothiD, Michael CollettaiD, Kayla X. NguyeniD, Steven E. ZeltmanniD, Xiyue S. ZhangiD, Mohammadreza ParaaniD, Mykhailo KopyloviD, Charlie DubbeldamiD, Daniel SerwasiD, Hannah SiemsiD, David Anthony MulleriD, Lena Fitting KourkoutisiD

PDFDOIPreprint

Abstract

Cryo-EM is a powerful tool in structural biology, providing insights through techniques like single-particle analysis (SPA) and cryogenic electron tomography (cryo-ET). In thick specimens, challenges arise as an exponentially larger fraction of the transmitted electrons lose energy from inelastic scattering and can no longer be properly focused as a result of chromatic aberrations in the post-specimen optics. Rather than filtering out the inelastic scattering at the price of reducing potential signal, as is done in energy-filtered transmission electron microscopy (EFTEM), we show how a dose-efficient and unfiltered image can be rapidly obtained using tilt-corrected bright-field scanning-TEM (tcBF-STEM) data collected on a pixelated detector. Enhanced contrast and a 3-5x improvement in collection efficiency are observed for 2D images of intact bacterial cells and large organelles using tcBF-STEM compared to EFTEM for thicknesses beyond 500 nm. As a proof of concept for the techniques performance in structural determination, we present an SPA map at subnanometer resolution for a highly symmetric virus-like particle (VLP) with 789 particles. These findings suggest applications for tcBF-STEM in cryo-EM of thicker cellular volumes where current approaches struggle.

Citations
60
FWCI
17.25
Field percentile
top 1%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISLazic '21Kirchweger '25Rheinberger '20Elferich '24Zhang '25Bouvette '20
72% semantic matchBiophysics
I. Lazic, M. Wirix, M. L. Leidl+7 more·bioRxiv·Oct 12, 2021