Since the distribution of crystal reflection intensities on a detector is difficult to anticipate a priori, any pixel on the sensor must be able to deliver the full dynamic range at any given time. This presents a challenge for most commercially available DEDs, which have low readout and internal counting or frame rates that fundamentally limit the number of electrons measurable per pixel per second. Exceeding these limits results in CL, which effectively narrows the dynamic range of observable signal. Despite these challenges, several studies have demonstrated the utility of electron counting for electron diffraction data collection. For example, in 2019, a K2 detector was used to chart the nanoscale mosaicity of peptide crystals using nanobeam diffraction ; challenges with CL were notable under those conditions. Follow-up work in 2020 led to the structure of a hexapeptide nanocrystal determined ab initio from electron nanobeam diffraction data, also collected on a K2 detector in counting mode . More recently, similar detectors have been used to determine ab initio structures of macromolecules , with specific data collection settings implemented to minimize CL while retaining highresolution signal .