AIM OF THE COURSE The goal of this course is to familiarize researchers working in life sciences with state-of-the-art deep learning techniques for microscopy image analysis, with a focus on image restoration and image segmentation. Our aim is to introduce tools and frameworks that will facilitate independent application of the learned material after the course. […]

Course requirements: personal workstation/laptop with high-speed internet connection. Zoom installation preferred, no other specific software needed Background reading: https://www.learnpython.org AIM Fluorescence microscopy is a key driver of discoveries in the life-sciences, with observable phenomena being limited by the microscope optics, the chemistry of the fluorophores, and the maximum photon exposure tolerated by the sample. These limits require […]