Image Processing and Bio-image Informatics
This course gives an overview of biological and biomedical imaging modaliTes, such as fluorescent microscopy, electron microscopy, magnetic resonance imaging, ultrasound and others. The focus is on automating and solving the fundamental tasks required for the interpretation of these images, including deconvolution, registration, segmentation, padern recognition, and modeling, as well as tools needed to solve those tasks (such as Fourier and wavelet methods). The discussion of these
topics will draw on many fields including statistics, signal processing, and machine learning.
Develop and conduct appropriate experimentation and/or simulation,
analyze and interpret data, assess and evaluate findings, and use
statistical analyses and objective engineering judgment to draw
conclusions.Practice research techniques and methods of investigation as an
inherent part of learning.Use creative, innovative and flexible thinking and acquire
entrepreneurial and leadership skills to anticipate and respond to
new situations.Design, model and analyze an electrical, electronic, microwave and
optical system or component for a specific ICT application and
identify the tools required to optimize this design.Evaluate the performance and suitability of an electrical and
electronic system and circuit under specific input excitation.Understand the key principles of signal processing, control theory,
and the main components of analog and digital communication
systems. As well as, DSP and embedded systems
Illustrate the key performance indicators in communication systems
and networks and analyze the performance of analog and digital
communication systems, as well as wireless and optical
communication systems and communication networks