Abstract text (incl. figure legends and references)
In recent years, image processing technology has been greatly improved and people in various fields have developed automated operations based on image processing technology. In the field of electron microscopy, automated functions and software have been developed that can be used in the fields of materials and biology [1]. Transmission electron microscopes (TEM) of JEOL can be operated using a scripting language with PyJEM, a JEOL made Python module (Python is a trademark or registered trademark of the Python Software Foundation). By using PyJEM, one can read the information on a TEM and send operational commands to it without a direct operation. In addition, the combination of lots of computation and image processing modules enables users to simplify the operation of TEM together with the acquisition of experimental data. Moreover users who are not familiar with microscope operation can perform TEM alignments with the same accuracy as an experienced user in a short time by combining useful functions in Python. In this report, we introduce examples of automated microscope alignments by PyJEM.
[1] M. Schorb. I. Haberbosch. W.J. H. Hagen. Y. Schwab & D. N. Mastronarde. Nature Methods 16 (2019). p. 471-477.