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TitleSmart parallel automated cryo-electron tomography.
Journal, issue, pagesNat Methods, Vol. 21, Issue 9, Page 1612-1615, Year 2024
Publish dateAug 8, 2024
AuthorsFabian Eisenstein / Yoshiyuki Fukuda / Radostin Danev /
PubMed AbstractIn situ cryo-electron tomography enables investigation of macromolecules in their native cellular environment. Samples have become more readily available owing to recent software and hardware ...In situ cryo-electron tomography enables investigation of macromolecules in their native cellular environment. Samples have become more readily available owing to recent software and hardware advancements. Data collection, however, still requires an experienced operator and appreciable microscope time to carefully select targets for high-throughput tilt series acquisition. Here, we developed smart parallel automated cryo-electron tomography (SPACEtomo), a workflow using machine learning approaches to fully automate the entire cryo-electron tomography process, including lamella detection, biological feature segmentation, target selection and parallel tilt series acquisition, all without the need for human intervention. This degree of automation will be essential for obtaining statistically relevant datasets and high-resolution structures of macromolecules in their native context.
External linksNat Methods / PubMed:39117874
MethodsEM (tomography)
Structure data

EMDB-38295: SPACEtomo example tomograms of Baker's Yeast
Method: EM (tomography)

Source
  • Saccharomyces cerevisiae (brewer's yeast)

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