dc.contributor.author | de Beer, Marit | |
dc.contributor.author | Daviran, Deniz | |
dc.contributor.author | Roverts, Rona | |
dc.contributor.author | Rutten, Luco | |
dc.contributor.author | Macías Sánchez, Elena | |
dc.contributor.author | R. Metz, Juriaan | |
dc.contributor.author | Sommerdijk, Nico | |
dc.contributor.author | Akiva, Anat | |
dc.date.accessioned | 2024-10-02T10:29:32Z | |
dc.date.available | 2024-10-02T10:29:32Z | |
dc.date.issued | 2023-05-11 | |
dc.identifier.citation | de Beer, M. et. al. Commun Biol 6, 510 (2023). [https://doi.org/10.1038/s42003-023-04887-y] | es_ES |
dc.identifier.uri | https://hdl.handle.net/10481/95421 | |
dc.description.abstract | Cryo-correlative light and electron microscopy (cryoCLEM) is a powerful strategy to high
resolution imaging in the unperturbed hydrated state. In this approach fluorescence microscopy
aids localizing the area of interest, and cryogenic focused ion beam/scanning electron
microscopy (cryoFIB/SEM) allows preparation of thin cryo-lamellae for cryoET. However, the
current method cannot be accurately applied on bulky (3D) samples such as tissues and
organoids. 3D cryo-correlative imaging of large volumes is needed to close the resolution gap
between cryo-light microscopy and cryoET, placing sub-nanometer observations in a larger
biological context. Currently technological hurdles render 3D cryoCLEM an unexplored
approach. Here we demonstrate a cryoCLEM workflow for tissues, correlating cryo-Airyscan
confocal microscopy with 3D cryoFIB/SEM volume imaging. Accurate correlation is achieved
by imprinting a FinderTOP pattern in the sample surface during high pressure freezing, and
allows precise targeting for cryoFIB/SEM volume imaging. | es_ES |
dc.description.sponsorship | European Research Council (ERC) Advanced
Investigator grant (H2020-ERC-2017-ADV-788982-COLMIN) | es_ES |
dc.description.sponsorship | VENI grant from the Netherlands Scientific Organization NWO
(VI.Veni.192.094) | es_ES |
dc.description.sponsorship | Marie Skłodowska Curie Individual Fellowship (H2020-MSCA-IF-2020- 101031624- DYNAMIN) | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer Nature | es_ES |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.title | Precise targeting for 3D cryo-correlative light and electron microscopy volume imaging of tissues using a FinderTOP | es_ES |
dc.type | journal article | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/788982 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/101031624 | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.identifier.doi | 10.1038/s42003-023-04887-y | |
dc.type.hasVersion | VoR | es_ES |