Together with an interdisciplinary research team, the TUM researcher has now developed self-learning algorithms to in future help analyze bioscientific image data. Training self-learning algorithms In the AIMOS project, the algorithms were trained with the help of images of mice. The team then checked the reliability of the artificial intelligence with the help of 200 further whole-body scans of mice. Using self-learning algorithms to analyze image data in the future will save a lot of time in the future," emphasizes Menze. When using the novel 3D microscopy, the scientists at the TUM worked closely with experts at the Helmholtz Zentrum München.
