Marco Stampanoni: Catalogue data in Autumn Semester 2017 |
Name | Prof. Dr. Marco Stampanoni |
Field | X-ray Imaging |
Address | Professur für Röntgenbildgebung ETH Zürich, GLC F 17.1 Gloriastrasse 37/ 39 8092 Zürich SWITZERLAND |
Telephone | +41 44 632 86 50 |
stampanoni@biomed.ee.ethz.ch | |
Department | Information Technology and Electrical Engineering |
Relationship | Full Professor |
Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|
227-0965-00L | Micro and Nano-Tomography of Biological Tissues | 4 credits | 3G | M. Stampanoni, P. A. Kaestner | |
Abstract | The lecture introduces the physical and technical know-how of X-ray tomographic microscopy. Several X-ray imaging techniques (absorption-, phase- and darkfield contrast) will be discussed and their use in daily research, in particular biology, is presented. The course discusses the aspects of quantitative evaluation of tomographic data sets like segmentation, morphometry and statistics. | ||||
Learning objective | Introduction to the basic concepts of X-ray tomographic imaging, image analysis and data quantification at the micro and nano scale with particular emphasis on biological applications | ||||
Content | Synchrotron-based X-ray micro- and nano-tomography is today a powerful technique for non-destructive, high-resolution investigations of a broad range of materials. The high-brilliance and high-coherence of third generation synchrotron radiation facilities allow quantitative, three-dimensional imaging at the micro and nanometer scale and extend the traditional absorption imaging technique to edge-enhanced and phase-sensitive measurements, which are particularly suited for investigating biological samples. The lecture includes a general introduction to the principles of tomographic imaging from image formation to image reconstruction. It provides the physical and engineering basics to understand how imaging beamlines at synchrotron facilities work, looks into the recently developed phase contrast methods, and explores the first applications of X-ray nano-tomographic experiments. The course finally provides the necessary background to understand the quantitative evaluation of tomographic data, from basic image analysis to complex morphometrical computations and 3D visualization, keeping the focus on biomedical applications. | ||||
Lecture notes | Available online | ||||
Literature | Will be indicated during the lecture. | ||||
227-0970-00L | Research Topics in Biomedical Engineering | 0 credits | 2K | M. Rudin, S. Kozerke, K. P. Prüssmann, M. Stampanoni, K. Stephan, J. Vörös | |
Abstract | Current topics in Biomedical Engineering presented by speakers from academia and industry. | ||||
Learning objective | Getting insight into actual areas and problems of Biomedical Engineering an Health Care. |