eLife · 2020 · 133 citations · 36 references
Life SciencesBiophysicsCell BiologyBiomedical ImagingCell BiophysicsStructural BiologyCellular UltrastructureCryo-electron MicroscopyElectron MicroscopyMacromolecular Structure DeterminationSpecimen PreparationSpecimen ProcessingCryo-electron Microscopy Sample PreparationCryo-electron Microscopy Structure AnalysisCryo-electron Microscopy Structure DeterminationCryogenic Electron MicroscopyLamellae StructureMacromolecular ArchitectureMillingSubtomogram Averaging
Cryo-electron tomography enables imaging of cells in their native state, but its application is limited to thin samples, and cryo-focused ion beam milling extends the technique’s reach while remaining low-throughput and manual. The authors present a method for fully automated sequential cryoFIB preparation of high‑quality lamellae, encompassing rough milling and polishing. The approach automates rough milling and polishing steps in cryoFIB preparation, enabling rapid lamella production. Applied to eukaryotic and bacterial models, the automated method yields lamellae suitable for cryoET imaging and subtomogram averaging, reduces preparation time, and minimizes user input, making previously inaccessible projects feasible.
Cryo-electron tomography (cryoET) has become a powerful technique at the interface of structural biology and cell biology, due to its unique ability for imaging cells in their native state and determining structures of macromolecular complexes in their cellular context. A limitation of cryoET is its restriction to relatively thin samples. Sample thinning by cryo-focused ion beam (cryoFIB) milling has significantly expanded the range of samples that can be analyzed by cryoET. Unfortunately, cryoFIB milling is low-throughput, time-consuming and manual. Here, we report a method for fully automated sequential cryoFIB preparation of high-quality lamellae, including rough milling and polishing. We reproducibly applied this method to eukaryotic and bacterial model organisms, and show that the resulting lamellae are suitable for cryoET imaging and subtomogram averaging. Since our method reduces the time required for lamella preparation and minimizes the need for user input, we envision the technique will render previously inaccessible projects feasible.
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