In 2017 the Nobel prize in chemistry was awarded "for developing cryo-electron microscopy (cyroEM) for the high-resolution structure determination of biomolecules in solution." The field has quickly responded with a flurry of growth. Critical to the success of cryoEM is sample preparation and advanced image processing which have experienced a surge in new developments, as well. These include new workflows, correlation between imaging modalities, sample preparation techniques, workflow automation, data processing (including application of deep learning segmentation), and a rekindling of interest in existing techniques that are no longer widely practiced. These methods, routines, and techniques are intensively hands-on by nature, often involving great precision and user input/intervention over many steps. Frequently a single mistake early in the workflow is only identified during the final imaging or analysis steps, leading to lengthy troubleshooting in the hands of the uninitiated. This collection seeks to invite experts in the field to submit new methods, software routines, or detailed walk-throughs of existing approaches that will help document these processes, leading to better dissemination of methods to the rapidly expanding research community.