Course

BIO-695: Image Processing for Life Science

Summary

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.

Lectures

Instructors (3)

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)

Romain Guiet

Expertise Development of BioImage Analysis workflows and algorithms to extract quantitative data from microscopy images.BioSample Preparation : in vitro cell, organoid, time-lapse, fixation, staining strategies, actin, mitochondria, fluorescent protein expressionBioImage Acquisition : Widefield, Confocal, Whole Slide Imaging, Super-resolution (SIM, STORM, STED), FRET, FRAP, FLIMBioImage Analysis: Colocalisation analysis, Deconvolution, Time-lapse , Whole Slide ImagingTools & Software: ImageJ/Fiji, QuPath, i

Nicolas René Chiaruttini

Official source

https://edu.epfl.ch/coursebook/en/image-processing-for-life-science-BIO-695

Moodle Page

http://go.epfl.ch/BIO-695

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Summary

Lectures

Instructors (3)

Arne Seitz

Romain Guiet

Nicolas René Chiaruttini

Official source

https://edu.epfl.ch/coursebook/en/image-processing-for-life-science-BIO-695

Moodle Page

http://go.epfl.ch/BIO-695

Lectures in this course (51)

All Projects: Overview

Covers various projects related to measuring, analyzing, and quantifying different biological processes.

Distance to Tumor

Covers a project involving 2D images acquired with a confocal microscope on antibody-stained slides.

Digital Images and Visual Perception MOOC: Image Processing and Analysis for Life Scientists

Covers the basics of digital images, image processing, and visual perception.

Digital Images and Visual Perception MOOC: Image Processing and Analysis for Life Scientists

Covers the definition of digital images, image formation, classification by bit depth, and image analysis.

Introduction to ImageJ MOOC: Image Processing and Analysis for Life Scientists

Introduces ImageJ, covering installation, image display, macro recording, Fiji benefits, community, plugins, and scripting.

Related courses (32)

MSE-352: Introduction to microscopy + Laboratory work

Ce cours d'introduction à la microscopie a pour but de donner un apperçu des différentes techniques d'analyse de la microstructure et de la composition des matériaux, en particulier celles liées aux microscopies électronique et optique. Le cours comprend d ...

MICRO-511: Image processing I

Introduction to the basic techniques of image processing. Introduction to the development of image-processing software and to prototyping using Jupyter notebooks. Application to real-world examples in industrial vision and biomedical imaging. ...

CS-442: Computer vision

Computer Vision aims at modeling the world from digital images acquired using video or infrared cameras, and other imaging sensors. We will focus on images acquired using digital cameras. We will introduce basic processing techniques and discuss their fie ...

MICRO-561: Fundamentals of biomicroscopy

Introduction to the basic operational principles of the most commonly used optical microscopes such as widefield and fluorescence.
Introduction to essential microscopy components such as lenses, objectives, filters, cameras and light sources. ...

MICRO-562: Experimental biomicroscopy

By combining hands-on and theoretical training, this course introduces commonly used optical microscopy techniques. The lab training takes place in BIOP Core Facility and provides access to use microscopes and image biological samples. Theoretical part cov ...