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@ARTICLE{Berkamp:1020283,
author = {Berkamp, Sabrina and Daviran, Deniz and Smeets, Marit and
Caignard, Alexane and Jani, Riddhi and Sundermeyer, Pia and
Jonker, Caspar and Gerlach, Sven and Hoffmann, Bernd and
Lau, Katherine and Sachse, Carsten},
title = {{C}orrelative {L}ight and {E}lectron {C}ryo-{M}icroscopy
{W}orkflow {C}ombining {M}icropatterning, {I}ce {S}hield,
and an {I}n-{C}hamber {F}luorescence {L}ight {M}icroscope},
journal = {Bio-protocol},
volume = {13},
number = {24},
issn = {2331-8325},
address = {Sunnyvale, CA},
publisher = {bio-protocol.org},
reportid = {FZJ-2024-00039},
pages = {-},
year = {2023},
abstract = {In situ cryo-electron tomography (cryo-ET) is the most
current, state-of-the-art technique to study cell machinery
in its hydrated near-native state. The method provides
ultrastructural details at sub-nanometer resolution for many
components within the cellular context. Making use of recent
advances in sample preparation techniques and combining this
method with correlative light and electron microscopy (CLEM)
approaches have enabled targeted molecular visualization.
Nevertheless, the implementation has also added to the
complexity of the workflow and introduced new obstacles in
the way of streamlining and achieving high throughput,
sample yield, and sample quality. Here, we report a detailed
protocol by combining multiple newly available technologies
to establish an integrated, high-throughput, optimized, and
streamlined cryo-CLEM workflow for improved sample yield.},
cin = {ER-C-3 / IBI-2},
ddc = {570},
cid = {I:(DE-Juel1)ER-C-3-20170113 / I:(DE-Juel1)IBI-2-20200312},
pnm = {5352 - Understanding the Functionality of Soft Matter and
Biomolecular Systems (POF4-535) / 5241 - Molecular
Information Processing in Cellular Systems (POF4-524)},
pid = {G:(DE-HGF)POF4-5352 / G:(DE-HGF)POF4-5241},
typ = {PUB:(DE-HGF)16},
pubmed = {38156035},
UT = {WOS:001156017600001},
doi = {10.21769/BioProtoc.4901},
url = {https://juser.fz-juelich.de/record/1020283},
}