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. 2021 Jan 19;220(2):e202006180. doi: 10.1083/jcb.202006180

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© 2021 Kanfer et al.

This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms/). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 4.0 International license, as described at https://creativecommons.org/licenses/by-nc-sa/4.0/).

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Figure S2. — Shiny AI-PS Application and output files. Detailed instructions and the source package for the AI-PS graphical user interface (GUI) can be found at https://github.com/hbaldwin07/GK_shiny_app. The AI-PS GUI application is also hosted online at https://hab-gk-app.shinyapps.io/gk_shiny_app/. (a) Screenshots of the nucleus (left) and cell outline (right) segmentation tools. (b) Example of image classification interface. Image file(s) are segmented using predetermined parameters set in the previous panel or uploaded by the user. The individual cells (outlined in yellow) are manually selected for positive or negative classification. (c) Schematic of the integration of AI-PS output with Nikon elements software for deployment. The three files generated by the AI-PS application are the SVM model file (“Create Model” tool), the Deployment R script (downloaded from https://github.com/gkanfer/AI-PS), and the Parameter file (table of nucleus and cell segmentation parameters generated by “Save Image Parameters” in segmentation panel). All three files should be saved in a common directory on the microscope’s local computer (i.e., C:\outproc\) and directed to the Nikon elements JOB module outproc.