The protocol presented here describes the use of Spotiton, a novel robotic system, to deliver two samples of interest onto a self-wicking, nanowire grid that mix for a minimum of 90 ms prior to vitrification in liquid cryogen.
Cryo-electron microscopy (cryoEM) multi-grid screening is often a tedious process that demands hours of attention. This protocol shows how to set up a standard Leginon collection and Smart Leginon Autoscreen to automate this process. This protocol can be applied to the majority of cryoEM holey foil grids.
Cryo-electron tomography (cryo-ET) enables 3D visualization of cellular ultrastructure at nanometer resolution, but manual segmentation remains time-consuming and complex. We present a novel workflow that integrates advanced virtual reality software for segmenting cryo-ET tomograms, showcasing its effectiveness through the segmentation of mitochondria in mammalian cells.