Electron microscopy

Transmission electron cryomicroscopy

Transmission electron cryomicroscopy (CryoTEM), commonly known as cryo-EM, is a form of cryogenic electron microscopy, more specifically a type of transmission electron microscopy (TEM) where the sample is studied at cryogenic temperatures (generally liquid-nitrogen temperatures). Cryo-EM is gaining popularity in structural biology. The utility of transmission electron cryomicroscopy stems from the fact that it allows the observation of specimens that have not been stained or fixed in any way, showing them in their native environment. This is in contrast to X-ray crystallography, which requires crystallizing the specimen, which can be difficult, and placing them in non-physiological environments, which can occasionally lead to functionally irrelevant conformational changes. Advances in electron detector technology, particularly DED (Direct Electron Detectors) as well as more powerful software imaging algorithms have allowed for the determination of macromolecular structures at near-atomic resolution. Imaged macromolecules include viruses, ribosomes, mitochondria, ion channels, and enzyme complexes. Starting in 2018, cryo-EM could applied to structures as small as hemoglobin (64 kDa) and with resolutions up to 1.8 Å. In 2019, cryo-EM structures represented 2.5% of structures deposited in the Protein Data Bank, and this number continues to grow. An application of cryo-EM is cryo-electron tomography (cryo-ET), where a 3D reconstruction of the sample is created from tilted 2D images. (Wikipedia).

Transmission electron cryomicroscopy
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Petar Petrov - Laser phase-contrast transmission electron microscopy & computational opportunities

Recorded 15 November 2022. Petar Petrov of the University of California, Berkeley, presents "Laser phase-contrast transmission electron microscopy and associated computational opportunities" at IPAM's Cryo-Electron Microscopy and Beyond Workshop. Abstract: A phase plate can provide optimum

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Steven Ludtke - Contextual Conformational Variability in CryoEM and CryoET using Deep Learning

Recorded 14 November 2022. Steven Ludtke of Baylor College of Medicine presents "Contextual Conformational Variability in CryoEM and CryoET using Deep Learning" at IPAM's Cryo-Electron Microscopy and Beyond Workshop. Abstract: By studying molecules in solution, free to explore their entrop

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Related pages

Electron cryotomography | Detectors for transmission electron microscopy | CMOS | Cryogenic electron microscopy | Prior probability | Maximum likelihood estimation | Helix | EM Data Bank | Transmission electron microscopy | Bayesian probability | Empirical Bayes method | Least squares | Electron microscope | Negative stain | Microcrystal electron diffraction