Difference between revisions of "YeaZ"

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[[Image:sgdwiki-yeaz-screenshot.png]]
 
[[Image:sgdwiki-yeaz-screenshot.png]]
  
The system contains a Python based application with graphical user interface available on [https://github.com/lpbsscientist/YeaZ-GUI|GitHub], as well as standalone apps for both Windows and Mac based computers, and training sets. Additional information is available in the accompanying Nature Communications paper by [https://www.nature.com/articles/s41467-020-19557-4|Dietler et al., 2020]  
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The system contains a Python based application with graphical user interface available on [https://github.com/lpbsscientist/YeaZ-GUI GitHub], as well as standalone apps for both Windows and Mac based computers, and training sets. Additional information is available in the accompanying Nature Communications paper by [https://www.nature.com/articles/s41467-020-19557-4 Dietler et al., 2020]  
  
  
 
YeaZ was created at École polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland
 
YeaZ was created at École polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland
 
Please contact [https://www.epfl.ch/labs/lpbs/professor-rahi/ Sahand Jamal Rahi] with questions, or ideas for improvements.
 
Please contact [https://www.epfl.ch/labs/lpbs/professor-rahi/ Sahand Jamal Rahi] with questions, or ideas for improvements.

Revision as of 11:38, 13 November 2020

YeaZ 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-qual|ty segmented yeast images, as well as a graphical user interface and a web application to employ, test, and expand the system.

sgdwiki-yeaz-screenshot.png

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, and training sets. Additional information is available in the accompanying Nature Communications paper by Dietler 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.