Fredrik Skärberg: From Light to Data using Deep Learning for Quantitative Microscopy of Microscopic Systems

Title 

From Light to Data using Deep Learning for Quantitative Microscopy of Microscopic System

Opponent

Professor Arrate Munoz Barrutia, Department of Bioengineering, Universidad Carlos III de Madrid, Spain

The examination board

• Professor Per Augustsson, Department of Biomedical Engineering, Lund University
• Associate professor Jens Petersen, Department of Computer Science, Copenhagen University, Denmark
• Professor Rebecka Jörnsten, Department of Mathematics, Chalmers University of Technology, Gothenburg

Alternate board member

Professor Vitali Zhaunerchyk, Department of Physics, University of Gothenburg

Chair

Professor Raimund Feifel, Department of Physics, University of Gothenburg