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  Quantitative evaluation of embedding resins for volume electron microscopy

Tegethoff, L., & Briggman, K. L. (2024). Quantitative evaluation of embedding resins for volume electron microscopy. Frontiers in Neuroscience, 18: doi: 10.3389/fnins.2024.1286991. doi:10.3389/fnins.2024.1286991.

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fnins-18-1286991.pdf (Publisher version), 4MB
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fnins-18-1286991.pdf
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Sec. Brain Imaging Methods
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Copyright Date:
2024
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© 2024 Tegethoff and Briggman

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 Creators:
Tegethoff, Lennart1, Author           
Briggman, Kevin L.1, Author                 
Affiliations:
1Department of Computational Neuroethology, Max Planck Institute for Neurobiology of Behavior – caesar, Max Planck Society, ou_3361762              

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Free keywords: epoxy resin, volume electron microscopy (vEM), hardness, cutting forces, tissue embedding
 Abstract: Optimal epoxy resin embedding is crucial for obtaining consistent serial sections from large tissue samples, especially for block faces spanning >1 mm2. We report a method to quantify non-uniformity in resin curing using block hardness measurements from block faces. We identify conditions that lead to non-uniform curing as well as a procedure to monitor the hardness of blocks for a wide range of common epoxy resins used for volume electron microscopy. We also assess cutting repeatability and uniformity by quantifying the transverse and sectional cutting forces during ultrathin sectioning using a sample-mounted force sensor. Our findings indicate that screening and optimizing resin formulations is required to achieve the best repeatability in terms of section thickness. Finally, we explore the encapsulation of irregularly shaped tissue samples in a gelatin matrix prior to epoxy resin embedding to yield more uniform sections.

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Language(s): eng - English
 Dates: 2024-02-09
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3389/fnins.2024.1286991
 Degree: -

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Title: Frontiers in Neuroscience
  Abbreviation : Front Neurosci
  Subtitle : Sec. Brain Imaging Methods
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Lausanne, Switzerland : Frontiers Research Foundation
Pages: - Volume / Issue: 18 Sequence Number: doi: 10.3389/fnins.2024.1286991 Start / End Page: - Identifier: ISSN: 1662-4548
ISSN: 1662-453X
CoNE: https://pure.mpg.de/cone/journals/resource/1662-4548