Microscopy Conference 2023

Cryo-STEM imaging for single particle structure determination

IM 4: Development of cryo-EM instrumentation and techniques

Technological advances steadily push the limits of cryo-electron microscopy (cryo-EM). In recent years, novel developments in cryo-EM instrumentation as well as newly established workflows enabled groundbreaking insights in both, life sciences and material sciences.
In this session we will discuss new developments in experimental cryogenic techniques, cryo-sample preparation as well as instrumental capabilities applied across different fields.
Contributions are welcome from, but not restricted to, the following areas: SEM, FIB, TEM, STEM and CLEM at cryogenic temperatures, including hardware improvements, cryo-stages, cryogenic sample preparation techniques used for EM, measurements of local temperature as well as image processing for cryo-EM.


Development of cryo-EM instrumentation and techniques

Abstract talk

LS 1: High-resolution cryo-EM

Integrated differential phase contrast (iDPC) STEM for ultimate low dose imaging at atomic resolution, including cryo nano particles

IM 6: Phase-related techniques & 4D STEM

Poster session IM 6: Phase-related techniques & 4D STEM

Poster

Cryo-EM structures of <em>C. glutamicum</em> pre- and posttranslocational 70S ribosome in complex with Kasugamycin

In 2020, cryo-EM breached another barrierer and it has now been shown that it can visualise individual atoms within a macromolecular complex. Significant improvements in software and mircoscope design were mandatory for this achievement. However, what is possible for ideal samples or test-specimen must not necessarily be true for research-based biological applications, highlighting the prerequisite of sample quality and optimization which continues to be the major challenge en route to atomic-resolution cryo-EM structures. The session will showcase how to improve the sample handling, microscope setup and image processing to obtain high-resolution structures using cryo-EM.

High resolution cryo-EM

LS 4: Image analysis of large data sets

Daniel Mann

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