APEER - Intuitive Automated Image-Processing Software
Intuitive automated image-processing software for everyone

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Review Date: 28 Sept 2023 | APEER - A ZEISS Initiative
APEER is a modern cloud-based digital microscopy platform enabling its users to automatically process microscopy images by running end to end workflows. Users can also customize their own workflows by rearranging public modules or even develop their own ones using any programming language of their choice including PYTHON, MATLAB, OAD Scripts and Fiji/imageJ scripts. With the integrated 2D/3D Viewer users are able to visualize their results. By joining the APEER forum, users can get in touch with their peers. APEER is fully funded and initiated by ZEISS.
Advanced Segmentation for Industrial Materials Using Machine Learning
Every quantitative analysis of a set of micrographs involves some form of segmentation. A region could be a mineral fragment, a grain in a metal, a pore in a composite, an oil contamination on the surface, a blood cell – any area differentiable from a neighboring area. By analysing these regions or the borders between regions, we get useful information. There are several standards for determining useful microstructural properties by image analysis of segmented images – e.g. for grain size, inclusion content, and porosity. These analyses, however, depend on the accuracy and reliability of the segmentation results.
APEER Case Study: How APEER is Used at the Fraunhofer Institute
At the Fraunhofer Institute for Microstructure of Materials and Systems, Professor Ralf Wehrspohn and his highly qualified team are challenged with controlling the quality of toothbrushes and toothpastes. While they have a lot of data and images to analyze, it simply is not possible to analyze everything using traditional methods. APEER, a modern cloud-based digital microscopy platform, has enabled Prof. Wehrspohn and his team to establish an end to end workflow that allows them to automatically process all the images they collect and achieve more accurate results.













