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research article

Block Face Scanning Electron Microscopy of Fluorescently Labeled Axons Without Using Near Infra-Red Branding

Maclachlan, Catherine  
•
Sahlender, Daniela A.  
•
Hayashi, Shuichi
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November 6, 2018
Frontiers In Neuroanatomy

In this article, we describe the method that allows fluorescently tagged structures such as axons to be targeted for electron microscopy (EM) analysis without the need to convert their labels into electron dense stains, introduce any fiducial marks, or image large volumes at high resolution. We optimally preserve and stain the brain tissue for ultrastructural analysis and use natural landmarks, such as cell bodies and blood vessels, to locate neurites that had been imaged previously using confocal microscopy. The method relies on low and high magnification views taken with the light microscope, after fixation, to capture information of the tissue structure that can later be used to pinpoint the position of structures of interest in serial EM images. The examples shown here are td Tomato expressing cortico-thalamic axons in the posteromedial nucleus of the mouse thalamus, imaged in fixed tissue with confocal microscopy, and subsequently visualized with serial block-face EM (SBEM) and reconstructed into 3D models for analysis.

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Type
research article
DOI
10.3389/fnana.2018.00088
Web of Science ID

WOS:000449334300001

Author(s)
Maclachlan, Catherine  
•
Sahlender, Daniela A.  
•
Hayashi, Shuichi
•
Molnar, Zoltan
•
Knott, Graham  orcid-logo
Date Issued

2018-11-06

Published in
Frontiers In Neuroanatomy
Volume

12

Start page

88

Subjects

Anatomy & Morphology

•

Neurosciences

•

Neurosciences & Neurology

•

correlative light and electron microscopy (clem)

•

axons

•

scanning electron microscopy

•

neuron ultrastructure

•

serial block-face electron microscopy (sbem)

•

in-vivo

•

lateral geniculate

•

ultrastructure

•

terminals

•

cortex

•

light

•

organization

•

pulvinar

•

dynamics

•

circuit

Note

This is an open access article under the terms of the Creative Commons Attribution License

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CIME  
Available on Infoscience
December 13, 2018
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/151978
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