Cryo-electron Microscopy is now a standard technique of choice along with protein crystallography to obtain atomic resolution of macromolecular assemblies, including viruses, either in apo form or complexed with ligands. Any cryo-EM project relies on optimized biochemistry and sample preparation methods including but not limited to plunge freezing or high pressure freezing of samples, potentially thinning biological samples using focused ion beam milling, or utilizing hybrid approaches like cryo-CLEM, micropatterning etc. Recently developed biochemical techniques to be used for preparing samples for cryo-EM include cell free protein expression (CPE) for soluble as well as membrane proteins. While several reports have been published on each of these approaches, it is not possible to include each and every detail of the sample preparation workflow in a word restricted manuscript. Moreover, watching a specialized sample preparation workflow performed by an experienced researcher can help researchers newly venturing into cryo-EM to optimize sample preparation specific for their research. We are also including methods including novel methods of protein or sample purification and grid preparation which lead to improvement in cryo-EM imaging over existing methods. The aim of this Methods Collection is to make available a broad collection of methods that are geared towards any form of cryo-EM sample preparation.
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2026
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1ITS-Technology Engineering, Information Technology Services, Physical & Biological Sciences Division, University of California-Santa Cruz, 2Biomolecular Cryo-Electron Microscopy Facility, University of California-Santa Cruz, 3Chemistry and Biochemistry Department, University of California-Santa Cruz
Manual Plunge-Freezing Workflow for Accessible Cryo-EM Grid Preparation and Single-Particle Analysis
Cody Brazel*1,
Dylan Girodat2,
Rose Marie Yasuda3,
Sean Mulligan3
1University of Arkansas,
2University of Lethbridge,
3Pacific Northwest Center for Cryo-EM
Cryo-EM Analysis of Photosynthetic Complexes: From Purification to Data Collection
Antonello Amelii1,
Stefano Capaldi1,
Gennaro Sanita2,
Emanuela Esposito2,
Roberto Bassi*1
1University of Verona, Italy,
2National Research Council - Naples, Italy