#Course: "Processing and Analysis of #Fluorescence #Microscopy Images" at @IPMontevideo

At the Institut Pasteur de Montevideo (Uruguay) from February 29th to March 11th, 2016.
The course combines theory and practice on image processing focusing on fluorescence microscopy images. The course is divided in two parts, the first one presents the theory and methods to understand the algorithms for image processing included in most of the commonly used software packages such as Icy or Fiji. This part is taught by top researchers and developers working in the biomedical image processing field, using material and biological examples. The second part is a hands-on course where the student will applied the analyzed methods (or new ones) to their own image related research projects.

We plan to populate the course with students from two different disciplines such as those with biological background and those trained in quantitative sciences such as engineering/mathematics/physics. The goal is to create small groups of students from different areas and combine their expertise to tackle a single problem.

Invited instructors
* Alexandre Dufour, Institut Pasteur Paris, France
* Stéphane Dallongeville, Institut Pasteur Paris, France
* Johannes Schindelin, University of Wisconsin-Madison, USA
* Steffen Hartel, Universidad de Chile, Chile

Organizers
* Federico Lecumberry, Institut Pasteur de Montevideo/Universidad de la República, Uruguay
* Pablo Aguilar, Institut Pasteur de Montevideo, Uruguay/Universidad de San Martín, Argentina
* Flavio Zolessi, Institut Pasteur de Montevideo/Universidad de la República, Uruguay

Aim
The global aim of this course is to equip students to address fluorescence microscopy imaging questions from a comprehensive and quantitative perspective.

At the end of the course, the students should have gained basic abilities to:
1. Precisely define a fluorescence microscopy imaging question and the type of data needed to answer it.
2. Select an effective set of processing and analytical tools and apply them in a systematized and comprehensive manner.
3. Design, modify or adapt a tool or set of tools to improve image processing and/or analysis performance.

The course is designed to foster two types of students: those with biological background and those trained in quantitative sciences such as engineering/mathematics/physics. Theoretical and practical sessions will be organized in a way that the skills of one group of students will help the other group.

The course will be in English.

This activity is supported by the Reseau International des Instituts Pasteur (RIIP); the International Centre for Genetics Engineering and Biotechnology; and the Institut Pasteur de Montevideo.

Applications
25 students will be selected among the applications. The course will provide financial support for the students, covering registration fees, and all local expenses (lodging, per diem and local transportation) for those coming from abroad.

The application deadline is December 23, 2015. The results will be announced by December 29, 2015.

The application form, activity program, contact information and other details can be found at the web site of the course http://pasteur.edu.uy/pafmi2016

Please address further inquiries to: pafmi2016@pasteur.edu.uy