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# StatSTEM
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Open source user friendly software code to quantify scanning transmission electron microscopy (STEM) images by using model based fitting. This provides an accurate and precise way of extracting quantitative information from STEM images. The software written in the MATLAB language and is tested stable for different MATLAB versions (2013a, 2015a and 2016a) on several operating systems (pc, mac, linux).
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The open-source StatSTEM software provides a user-friendly way of quantifying atomic-resolution scanning transmission electron microscopy (STEM) images by using parametric model-based fitting. In this manner, accurate and precise quantitative information can be extracted about the material under investigation. The software is written in the MATLAB computer language and runs for several MATLAB versions and operating systems (pc, mac, linux).
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Electron microscopy images will be modeled by a superposition of Gaussian peaks describing each individual atomic column. Overlap of intensities from neighbouring columns is taken into account. Structural parameters, like column positions and scattering cross sections, can be stored in a MATLAB file format. From the modelled image, the number of atoms in each atomic column can be determined.
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In StatSTEM, electron microscopy images are modelled by a superposition of Gaussian peaks describing each individual atomic column. Hereby, overlap of intensities from neighbouring columns is taken into account. Structural parameters, like column positions and scattering cross-sections, are determined and can be used for further analyses, such as atom counting, strain measurements, and creating 3D structural models.

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