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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},
}