Imaging the brain
• Why do we study the brain?
• How much do we already know about the brain?
• What makes brain research so difficult?
• What can we already see by eye (macroanatomy)?
• How to make brain structure and function visible?
• What does „quantitative imaging“ mean?
• How can we discriminate a „normal brain“ from a „diseased brain“?
From micro to macro: quantitative imaging at different scales
• How to count and locate neurons?
• Brain soup and staining
• Brightfield and Fluorescence Microscopy
• How to visualize neuronal networks?
• Brain preparation (clearing, staining, label-free)
• Optical Coherence Tomography, Polarization and Two-Photon Microscopy
• Diffusion Magnetic Resonance Imaging (dMRI)
Fundamental properties of images
• What is digital image processing?
• Digital image fundamentals
• Visual perception
• Image generation, representation, characteristics
Image Manipulation & the tools needed for it
• Operations on images
• Intensity transformations and spatial filtering
• Filtering in the frequency domain
• Image reconstruction from tomographic imaging
• Color image processing
• Morphological image processing
• Visualization
• Image Segmentation
• Fundamentals of Machine Learning
Programming and Presentation of certain topics related to Image Processing.
Please make sure you have completed “Image Processing and Data Visualization” beforehand!
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