AbstractSample thickness is a known key parameter in cryo-electron microscopy (cryo-EM) and can affect the amount of high-resolution information retained in the image. Yet, common data acquisition approaches in single particle cryo-EM do not take it into account. Here, we demonstrate how the sample thickness can be determined before data acquisition, allowing to identify optimal regions and restrict data collection to images with preserved high-resolution details. This quality over quantity approach, almost entirely eliminates the time- and storage-consuming collection of suboptimal images, which are discarded after a recorded session or during early image processing due to lack of high-resolution information. It maximizes data collection efficiency and lowers the electron microscopy time required per dataset. This strategy is especially useful, if the speed of data collection is restricted by the microscope hardware and software, or if data transfer, data storage and computational power are a bottleneck.SynopsisDetermining sample thickness, a key parameter in single particle cryo-electron microscopy, before data acquisition, and targeting only optimal areas, maximizes the data output from a single particle cryo-electron microscopy session. Scripts and optimized workflows for EPU and SerialEM are presented utilizing this concept.
High-Throughput Single Particle Cryo-Electron Microscopy Applied to the 26S Proteasome
