Journal Article FZJ-2026-00402

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Cryogenic STEM of thick biological specimens



2025
Nature Publishing Group London [u.a.]

Nature methods 22(10), 2015 - 2016 () [10.1038/s41592-025-02818-9]

This record in other databases:  

Please use a persistent id in citations: doi:

Abstract: A cryogenic scanning transmission electron microscopy (STEM) approach for analyzing thick biological specimens expands the reach of cryo-electron microscopy.In the past decade, structure determination and visualization of biological macromolecules by cryogenic electron microscopy (cryo-EM) has become one of the most popular tools in structural biology1. The power of cryo-EM has relied on the capabilities of transmission electron microscopy (TEM), which involves image formation in the microscope through electromagnetic lenses followed by comprehensive single-particle image processing. A few thousand well-defined particles can be sufficient to generate a resolution allowing reliable atomic model building. Despite the power of the established cryo-TEM approach, biological specimens can be too small, too heterogeneous or too thick and thus fall short of the commonly achieved resolutions. Moreover, determining biological structures at this resolution within the native cellular environment has only been possible in thin focused ion beam milled sections of approximately 100 nm thickness for very large and abundant macromolecular complexes such as the ribosome. In this issue, Yu et al.2 propose an alternative approach for imaging thick specimens that is based on cryogenic scanning transmission electron microscopy (STEM) followed by image processing, a method they call tilt-corrected bright-field STEM (tcBF-STEM).

Classification:

Contributing Institute(s):
  1. Strukturbiologie (ER-C-3)
Research Program(s):
  1. 5241 - Molecular Information Processing in Cellular Systems (POF4-524) (POF4-524)
  2. 5352 - Understanding the Functionality of Soft Matter and Biomolecular Systems (POF4-535) (POF4-535)

Database coverage:
Medline ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; DEAL Nature ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 40 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
Click to display QR Code for this record

The record appears in these collections:
Dokumenttypen > Aufsätze > Zeitschriftenaufsätze
Institutssammlungen > ER-C > ER-C-3
Workflowsammlungen > Öffentliche Einträge
Publikationsdatenbank

 Datensatz erzeugt am 2026-01-14, letzte Änderung am 2026-01-15


Restricted:
Volltext herunterladen PDF
Dieses Dokument bewerten:

Rate this document:
1
2
3
 
(Bisher nicht rezensiert)