Volume electron microscopy.

Détails

Ressource 1Télécharger: 37409324_BIB_6FE84FD376F0.pdf (3625.29 [Ko])
Etat: Public
Version: Author's accepted manuscript
Licence: CC BY 4.0
ID Serval
serval:BIB_6FE84FD376F0
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Volume electron microscopy.
Périodique
Nature reviews. Methods primers
Auteur⸱e⸱s
Peddie C.J., Genoud C., Kreshuk A., Meechan K., Micheva K.D., Narayan K., Pape C., Parton R.G., Schieber N.L., Schwab Y., Titze B., Verkade P., Aubrey A., Collinson L.M.
ISSN
2662-8449 (Electronic)
ISSN-L
2662-8449
Statut éditorial
Publié
Date de publication
07/07/2022
Peer-reviewed
Oui
Volume
2
Pages
51
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
Life exists in three dimensions, but until the turn of the century most electron microscopy methods provided only 2D image data. Recently, electron microscopy techniques capable of delving deep into the structure of cells and tissues have emerged, collectively called volume electron microscopy (vEM). Developments in vEM have been dubbed a quiet revolution as the field evolved from established transmission and scanning electron microscopy techniques, so early publications largely focused on the bioscience applications rather than the underlying technological breakthroughs. However, with an explosion in the uptake of vEM across the biosciences and fast-paced advances in volume, resolution, throughput and ease of use, it is timely to introduce the field to new audiences. In this Primer, we introduce the different vEM imaging modalities, the specialized sample processing and image analysis pipelines that accompany each modality and the types of information revealed in the data. We showcase key applications in the biosciences where vEM has helped make breakthrough discoveries and consider limitations and future directions. We aim to show new users how vEM can support discovery science in their own research fields and inspire broader uptake of the technology, finally allowing its full adoption into mainstream biological imaging.
Mots-clé
General Medicine, General Biochemistry, Genetics and Molecular Biology
Pubmed
Web of science
Création de la notice
31/03/2023 11:02
Dernière modification de la notice
20/01/2024 7:19
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