Ing, GabrielStewart, AndrewBattaglia, GiuseppeRuiz-Perez, Lorena2024-11-292024-11-292023-10-051932-6203https://hdl.handle.net/2445/216849Introducing SimpliPyTEM, a Python library and accompanying GUI that simplifies the post-acquisition evaluation of transmission electron microscopy (TEM) images, helping streamline the workflow. After an imaging session, a folder of image and/or video files, typically containing low contrast and large file size 32-bit images, can be quickly processed via SimpliPyTEM into high-quality, high-contrast.jpg images with suitably sized scale bars. The app can also generate HTML or PDF files containing the processed images for easy viewing and sharing. Additionally, SimpliPyTEM specifically focuses on <em>in situ</em> TEM videos, an emerging field of EM involving the study of dynamic processes whilst imaging. The package allows fast data processing into preview movies, averages, image series, or motion-corrected averages. The accompanying Python library offers many standard image processing methods, all simplified to a single command, plus a module to analyse particle morphology and population. This latter application is particularly useful for life sciences investigations. User-friendly tutorials and clear documentation are included to help guide users through the processing and analysis. We invite the EM community to contribute to and further develop this open-source package.1 p.application/pdfengcc-by (c) Ing, G. et al., 2023http://creativecommons.org/licenses/by/4.0/Microscòpia electrònica de transmissióMicroscòpia electrònicaTransmission electron microscopyElectron microscopyinfo:eu-repo/semantics/article7515462024-11-29info:eu-repo/semantics/openAccess