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The exotic internal structure of polar topologies in multi-ferroic materialsoffers a rich landscape for materials science research. As the spatial scale ofthese entities are often sub-atomic in nature, aberration correctedtransmission electron microscopy (TEM) is the ideal characterisation technique.Software to quantify and visualise the slight shifts in atomic placement withinunit cells is of paramount importance due to the now routine acquisition ofimages at such resolution. In the previous ~decade since the commercialisationof aberration corrected TEM, many research groups have written their own codeto visualise these polar entities. More recently, open access Python packageshave been developed for the purpose of TEM atomic position quantification.Building on these packages, we introduce the TEMUL Toolkit: a Python packagefor analysis and visualisation of atomic resolution images. Here, we focusspecifically on the TopoTEM module of the toolkit where we show an easy tofollow, streamlined version of calculating the atomic displacements relative tothe surrounding lattice and thus polarisation plotting. We hope this toolkitwill benefit the rapidly expanding field of topology based nano-electronic andquantum materials research, and we invite the electron microscopy community tocontribute to this open access project.

TopoTEM: A Python Package for Quantifying and Visualising Scanning Transmission Electron Microscopy Data of Polar Topologies