Literature DB >> 33763642

Optimization of negative stage bias potential for faster imaging in large-scale electron microscopy.

Ryan Lane1, Yoram Vos1, Anouk H G Wolters2, Luc van Kessel1, S Elisa Chen3, Nalan Liv3, Judith Klumperman3, Ben N G Giepmans2, Jacob P Hoogenboom1.   

Abstract

Large-scale electron microscopy (EM) allows analysis of both tissues and macromolecules in a semi-automated manner, but acquisition rate forms a bottleneck. We reasoned that a negative bias potential may be used to enhance signal collection, allowing shorter dwell times and thus increasing imaging speed. Negative bias potential has previously been used to tune penetration depth in block-face imaging. However, optimization of negative bias potential for application in thin section imaging will be needed prior to routine use and application in large-scale EM. Here, we present negative bias potential optimized through a combination of simulations and empirical measurements. We find that the use of a negative bias potential generally results in improvement of image quality and signal-to-noise ratio (SNR). The extent of these improvements depends on the presence and strength of a magnetic immersion field. Maintaining other imaging conditions and aiming for the same image quality and SNR, the use of a negative stage bias can allow for a 20-fold decrease in dwell time, thus reducing the time for a week long acquisition to less than 8 h. We further show that negative bias potential can be applied in an integrated correlative light electron microscopy (CLEM) application, allowing fast acquisition of a high precision overlaid LM-EM dataset. Application of negative stage bias potential will thus help to solve the current bottleneck of image acquisition of large fields of view at high resolution in large-scale microscopy.
© 2021 The Author(s).

Entities:  

Keywords:  Correlative light and electron microscopy; Electron microscopy; High-throughput imaging; Large-scale electron microscopy; Stage bias; Volume electron microscopy

Year:  2021        PMID: 33763642      PMCID: PMC7973379          DOI: 10.1016/j.yjsbx.2021.100046

Source DB:  PubMed          Journal:  J Struct Biol X        ISSN: 2590-1524


  4 in total

Review 1.  One for All, All for One: A Close Look at In-Resin Fluorescence Protocols for CLEM.

Authors:  Xavier Heiligenstein; Miriam S Lucas
Journal:  Front Cell Dev Biol       Date:  2022-06-30

2.  Preservation of Fluorescence Signal and Imaging Optimization for Integrated Light and Electron Microscopy.

Authors:  Pieter Baatsen; Sergio Gabarre; Katlijn Vints; Rosanne Wouters; Dorien Vandael; Rose Goodchild; Sebastian Munck; Natalia V Gounko
Journal:  Front Cell Dev Biol       Date:  2021-12-15

3.  Integrated Array Tomography for 3D Correlative Light and Electron Microscopy.

Authors:  Ryan Lane; Anouk H G Wolters; Ben N G Giepmans; Jacob P Hoogenboom
Journal:  Front Mol Biosci       Date:  2022-01-19

Review 4.  Field-Emission Scanning Electron Microscope as a Tool for Large-Area and Large-Volume Ultrastructural Studies.

Authors:  Bogdan Lewczuk; Natalia Szyryńska
Journal:  Animals (Basel)       Date:  2021-11-27       Impact factor: 2.752

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.