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BIO-410: Bioimage informatics

Summary

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.

Lectures

Instructors (2)

Daniel Sage

Arne Seitz

04/1996-06/2000 Scientific co-worker at Philipps-University of Marburg, Dep. of Physical Chemistry 07/2000-10/2002 Post Doc at Max-Planck Unit for Structural Molecular Biology in Hamburg 11/2002-11/2005 Post Doc at European Molecular Biolohy Laboratory (EMBL), Cell Biology and Cell Biophysics Programme 11/2005-03/2009 Staff Scientist at Advanced Light Microscopy Facility, EMBL 04/2009- Head of Bioimaging and Optics platforme (BIOP), Ecole Polytechnique Fédérale de Lausanne (EPFL)

Official source

https://edu.epfl.ch/coursebook/en/bioimage-informatics-BIO-410

Moodle Page

http://go.epfl.ch/BIO-410

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Summary

Lectures

Instructors (2)

Daniel Sage

Arne Seitz

Official source

https://edu.epfl.ch/coursebook/en/bioimage-informatics-BIO-410

Moodle Page

http://go.epfl.ch/BIO-410

About this result

Ontological neighbourhood

Information engineering

Artificial intelligence: Computer vision

Signal processing: Digital image processing, Fourier analysis

Machine learning: Artificial neural networks

Computer engineering

Software development: Software development process

Theoretical computer science

Programming language theory: High-level programming languages

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