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Methods of transmission electron microscopy (TEM) are typically used to resolve structures of vitrified biological specimens using both single particle analysis (SPA) and tomographic methods and use both conventional as well as scanning transmission modes of data collection. Automation of data collection for each method has been developed to different levels of convenience for the users. Automation of methods using the conventional TEM mode has progressed the furthest. Beam-image shift strategies first used in data collection for SPA were shown to be equally valuable for cryo-electron tomography (cryo-ET). Machine learning methods have been applied for target selection and for planning optimal paths of data collection for SPA. These methods also enabled automated screening. Apertures matching the square shape of cameras have been recently described. Some progress has also been made in the automation of cryo applications of scanning TEM, promising an increase of throughput and potential for further improvement.
Cheng et al. (Wed,) studied this question.