CASUS Institute Seminar, Kyle Harrington, Max Delbrück Center for Molecular Medicine Berlin

Imaging is used across all spatial scales from electron microscopy to satellite imagery. However, once images are acquired the data structures and algorithms used to store and process the images can be very general. There is a need to ensure that image analysis/processing software facilitates the generalizability of algorithms across scales and domains, while ensuring that algorithms adhere to core principles of open science (Findability, Accessibility, Interoperability, and Reproducibility).

My group is designing the Helmholtz Imaging Platform Solutions framework to address these needs by providing a flexible way to deploy and access image data software solutions. The current status and roadmap of this framework will be presented. I will also present a number of image data solutions that I have worked on in the context of systems biology that cover fundamental image analysis problems, such as segmentation, point detection, morphological quantification, and visualization. In doing so, I will present studies from developmental biology, biomechanics, neuroscience, and ecology.