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Label-free 3D-CLEM Using Endogenous Tissue Landmarks

Emerging 3D correlative light and electron microscopy approaches enable studying neuronal structure-function relations at unprecedented depth and precision. However, established protocols for the correlation of light and electron micrographs rely on the introduction of artificial fiducial markers, s...

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Detalles Bibliográficos
Autores principales: Luckner, Manja, Burgold, Steffen, Filser, Severin, Scheungrab, Maximilian, Niyaz, Yilmaz, Hummel, Eric, Wanner, Gerhard, Herms, Jochen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137285/
https://www.ncbi.nlm.nih.gov/pubmed/30240628
http://dx.doi.org/10.1016/j.isci.2018.07.012
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author Luckner, Manja
Burgold, Steffen
Filser, Severin
Scheungrab, Maximilian
Niyaz, Yilmaz
Hummel, Eric
Wanner, Gerhard
Herms, Jochen
author_facet Luckner, Manja
Burgold, Steffen
Filser, Severin
Scheungrab, Maximilian
Niyaz, Yilmaz
Hummel, Eric
Wanner, Gerhard
Herms, Jochen
author_sort Luckner, Manja
collection PubMed
description Emerging 3D correlative light and electron microscopy approaches enable studying neuronal structure-function relations at unprecedented depth and precision. However, established protocols for the correlation of light and electron micrographs rely on the introduction of artificial fiducial markers, such as polymer beads or near-infrared brandings, which might obscure or even damage the structure under investigation. Here, we report a general applicable “flat embedding” preparation, enabling high-precision overlay of light and scanning electron micrographs, using exclusively endogenous landmarks in the brain: blood vessels, nuclei, and myelinated axons. Furthermore, we demonstrate feasibility of the workflow by combining in vivo 2-photon microscopy and focused ion beam scanning electron microscopy to dissect the role of astrocytic coverage in the persistence of dendritic spines.
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spelling pubmed-61372852018-09-17 Label-free 3D-CLEM Using Endogenous Tissue Landmarks Luckner, Manja Burgold, Steffen Filser, Severin Scheungrab, Maximilian Niyaz, Yilmaz Hummel, Eric Wanner, Gerhard Herms, Jochen iScience Article Emerging 3D correlative light and electron microscopy approaches enable studying neuronal structure-function relations at unprecedented depth and precision. However, established protocols for the correlation of light and electron micrographs rely on the introduction of artificial fiducial markers, such as polymer beads or near-infrared brandings, which might obscure or even damage the structure under investigation. Here, we report a general applicable “flat embedding” preparation, enabling high-precision overlay of light and scanning electron micrographs, using exclusively endogenous landmarks in the brain: blood vessels, nuclei, and myelinated axons. Furthermore, we demonstrate feasibility of the workflow by combining in vivo 2-photon microscopy and focused ion beam scanning electron microscopy to dissect the role of astrocytic coverage in the persistence of dendritic spines. Elsevier 2018-07-20 /pmc/articles/PMC6137285/ /pubmed/30240628 http://dx.doi.org/10.1016/j.isci.2018.07.012 Text en © 2018 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Luckner, Manja
Burgold, Steffen
Filser, Severin
Scheungrab, Maximilian
Niyaz, Yilmaz
Hummel, Eric
Wanner, Gerhard
Herms, Jochen
Label-free 3D-CLEM Using Endogenous Tissue Landmarks
title Label-free 3D-CLEM Using Endogenous Tissue Landmarks
title_full Label-free 3D-CLEM Using Endogenous Tissue Landmarks
title_fullStr Label-free 3D-CLEM Using Endogenous Tissue Landmarks
title_full_unstemmed Label-free 3D-CLEM Using Endogenous Tissue Landmarks
title_short Label-free 3D-CLEM Using Endogenous Tissue Landmarks
title_sort label-free 3d-clem using endogenous tissue landmarks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137285/
https://www.ncbi.nlm.nih.gov/pubmed/30240628
http://dx.doi.org/10.1016/j.isci.2018.07.012
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