Several automated 3D ED data collection procedures have been developed to reduce the operating time of the user and increase throughput . Serial electron diffraction (SerialED), involving the acquisition of a single frame from each crystal, has been developed with crystal mapping in low-mag imaging and scanning transmission electron microscopy (STEM) modes. Although these methods lower dose accumulation, increase resolution and are fully automated, identifying phases from multiphasic systems with similar unit cell parameters from single frames can be challenging. Building on SerialED, serial rotation electron diffraction (SerialRED) has been developed as a fully automated technique for three-dimensional data collection and applied for the phase identification of multiphasic zeolite and metal-organic framework mixtures . Recently, by automatically and rapidly examining hundreds of crystals, SerialRED enables high-throughput phase analysis and allows the exploration of complex synthesis systems . However, the rotation ranges of each dataset are often low in the current implementation due to the alignment of the goniometer and relative high electron dose rate used in the current SerialRED implementation . This can lead to reduced accuracy in unit cell parameters, which can hinder phase identification from multiphasic systems with similar unit cells. In addition, structure determination of any new phases often requires merging datasets collected on multiple crystals, limiting the method's sensitivity to detect and characterise minor phases.