Arne Seitz

Mission I like the idea of communicating with people from different scientific areas (e.g. biologist on one hand and optical engineers on the other hand) because solving interdisciplinary questions has always fascinated me during my research career. 04/1996-06/2000 Scientific co-worker at Philipps-University of Marburg, Dep. of Physical Chemistry07/2000-10/2002 Post Doc at Max-Planck Unit for Structural Molecular Biology in Hamburg11/2002-11/2005 Post Doc at European Molecular Biolohy Laboratory (EMBL), Cell Biology and Cell Biophysics Programme11/2005-03/2009 Staff Scientist at Advanced Light Microscopy Facility, EMBL04/2009- Head of Bioimaging and Optics platforme (BIOP), Ecole Polytechnique Fédérale de Lausanne (EPFL) Teaching & PhD Courses Advanced Microscopy for Life Science BIO-659 For further information, please get in contact with the instructor or have a look on the following web-site: http://biop.epfl.ch/ Bioimage informatics BIO-410 The course provides a comprehensive overview of methods, algorithms, and computer tools used in bioimage analysis. It exposes fundamental concepts and practical computer solutions to extract quantitative information from multidimensional images, both using engineering methods and deep learning. Experimental biomicroscopy MICRO-562 General chemistry for SV CH-100 This course covers essential notions in general chemistry, relative to matter and its structure, equilibriums and chemical reactions, for life science students. The lectures and exercise sessions provide the knowledge and methodology required to solve general chemistry exercises. Image Processing for Life Science BIO-695 Registration details will be announced via email. It takes place yearly from Sept./October to December & intends to teach image processing with a strong emphasis of applications in life sciences. The idea is to enable the participants to solve image-processing questions via workflows independently. Methods: from disease models to therapy BIOENG-518 This course will describe methods underlying translational approaches from disease modeling and characterization to therapeutic applications. The presented techniques will be complemented by hands-on rotations in the technological platforms of the School of Life Sciences.