  TEM (Transmission Electron Microscopy) is a powerful tool for imaging
material structure and characterizing material chemistry. Recent advances in
data collection technology for TEM have enabled high-volume and high-resolution
data collection at a microsecond frame rate. This challenge requires the
development of new data processing tools, including image analysis, feature
extraction, and streaming data processing techniques. In this paper, we
highlight a few areas that have benefited from combining signal processing and
statistical analysis with data collection capabilities in TEM and present a
future outlook in opportunities of integrating signal processing with automated
TEM data analysis.
