Electron microscopy (EM) is a vastly used tool by biologists and life scientists to unveil structures of cells, cellular processes, and organelle architecture at nanoscale resolution. Obtaining images at such high resolution comes with a trade-off, where the field of view becomes limited.
Furthermore, making images at a high resolution is a time-consuming process. For instance, after the first EM implementations in biological sciences, EM functionality and structure evolved together with a researcher demand for more data and image resolution. This demand led to the development of volume EM machines, where image acquisition for big data sets could be obtained in a relatively short time. Various companies took the challenge and started to implement a lot of modifications and to debottleneck image acquisition, high throughput, and process automation to obtain high-resolution images of big datasets in a matter of days and hours.