Automated large volume sample preparation for vEM

Erin S. Stempinski, Lucas Pagano, Jessica L. Riesterer, Steven K. Adamou, Guillaume Thibault, Xubo Song, Young Hwan Chang, Claudia S. López

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

New developments in electron microscopy technology, improved efficiency of detectors, and artificial intelligence applications for data analysis over the past decade have increased the use of volume electron microscopy (vEM) in the life sciences field. Moreover, sample preparation methods are continuously being modified by investigators to improve final sample quality, increase electron density, combine imaging technologies, and minimize the introduction of artifacts into specimens under study. There are a variety of conventional bench protocols that a researcher can utilize, though most of these protocols require several days. In this work, we describe the utilization of an automated specimen processor, the mPrep™ ASP-2000™, to prepare samples for vEM that are compatible with focused ion beam scanning electron microscopy (FIB-SEM), serial block face scanning electron microscopy (SBF-SEM), and array tomography (AT). The protocols described here aimed for methods that are completed in a much shorter period of time while minimizing the exposure of the operator to hazardous and toxic chemicals and improving the reproducibility of the specimens' heavy metal staining, all without compromising the quality of the data acquired using backscattered electrons during SEM imaging. As a control, we have included a widely used sample bench protocol and have utilized it as a comparator for image quality analysis, both qualitatively and using image quality analysis metrics.

Original languageEnglish (US)
Title of host publicationVolume Electron Microscopy
EditorsKedar Narayan, Kedar Narayan, Lucy Collinson, Paul Verkade
PublisherAcademic Press Inc.
Pages1-32
Number of pages32
ISBN (Print)9780323916073
DOIs
StatePublished - Jan 2023

Publication series

NameMethods in Cell Biology
Volume177
ISSN (Print)0091-679X

Keywords

  • Array tomography
  • Automated sample processing
  • Electron microscopy
  • FIB-SEM
  • Image quality
  • SBF-SEM
  • Volume-EM

ASJC Scopus subject areas

  • Cell Biology

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