Mon Sep 30th - Fri Oct 4th 2024, Turku, Finland
Organized by the Jacquemet lab, Åbo Akademi University Course is open for all researchers in Åbo Akademi University and University of Turku
Topics include Basic image analysis using Fiji, Deep learning for microscpy and histopathology, Live cell imaging data analysis, data visualization and open science.
Now that the course is done, we would love to hear from you about your experience. What was good, what was less good and how we can improve things should we ever decide to do this again. :)
*open for anyone interested
To prepare for the course we recommend going through materials for edX course Image Processing and Analysis for Life Scientists. Free but requires login.
Helena Jambor, University of Applied Sciences of the Grisons, Switzerland
"How to not lie with charts - better data visualisations for life sciences"
Guillaume Jacquemet, Åbo Akademi University, Turku
"Deep Learning in Microscopy"
Pekka Ruusuvuori, University of Turku, Turku
"Deep Learning in Histopathology"
Junel Solis, Turku BioImaging, Turku
"Next-generation file formats, version control, and publishing your data"
Stéphane Rigaud, Institut Pasteur, Paris
Elnaz Fazeli, University of Helsinki
Hanna Grobe, Åbo Akademi University
Joanna Pylvänäinen, Åbo Akademi University
Sujan Ghimire, Åbo Akademi University
Marcela Rivera, Åbo Akademi University
The course in has 20-25 seats and participants will be selected based on their motivation and signifinance to their research.
The application is closed, selection results will be notified by Sep 3rd.
For questions please contact [email protected] and [email protected] (please cc both)