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Jump to: navigation, search] is a system for efficiently and accurately segmenting microscopy images of yeast cells. It contains a convolutional neural network, with an underlying training set of high-quality segmented yeast images, as well as a graphical user interface and a web application to employ, test, and expand the system.


The system contains a Python based application with graphical user interface available on GitHub (, as well as standalone apps for both Windows and Mac based computers, as well as training sets. Additional information is available in the accompanying Nature Communications paper by et al., 2020(

YeaZ was created at École polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland Please contact Sahand Jamal Rahi with questions, or ideas for improvements.