In summary, the high throughput autonomous MicroED approach established and demonstrated in this study has great potential for expanding the applications of MicroED as an analytical tool well beyond a structural determination tool. With the ability to collect and analyze vast amounts of data, MicroED can be used for compositional analysis, providing a reliable and statistically significant analysis of the relative composition of a sample. Methods such as chromatography and mass spectrometry separate molecules based on difference in their sizes or chemical properties such as charge or hydrophobicity. For structures similar in size and chemical properties, like with isomers, separation is difficult. For crystalline samples the unit cell of a compound is a result of the exact packing of the molecules in order to lower the solid-state energy and is a stereoselective 3D process . Therefore, chemically similar compounds usually result in a very different crystal packing and sometimes also a different symmetry between the molecules, resulting in differences in space groups and unit cell parameters. As these can be determined rather accurately from processing the diffraction movies, the cells can easily be distinguished. Should the unit cell parameters accidentally be very close to each other for any two crystals, as a next step the difference between the individual intensities of two data sets can be used to discriminate between two structures. The intensity of a reflection hkl is a result of the content of the unit cell, and the corresponding hkl of another data set can vary substantially with only a minor difference in the unit cell content .