Registration deadline: 31 January 2018
Course aim:
Introduces novice users to basic concepts and techniques in quantitative image analysis. Major topics covered include the basics of filtering and segmenting images along with techniques to extract useful measures from bio image data. Participants will learn how to use the Fiji software package and perform realistic bio-image analysis through numerous exercises and interactive hands-on sessions
Lerning Outcome:
By the end of the course participants will be familiar with:
- Tools to open, explore (and reconstruct) multidimensional image data.
- Tools to perform manual and automated segmentation and measurements in 2d and 3D images: segmentation (threshold, watershed) skeletonization, maxima detection, denoising filter and binary filters.
- Time sequence analysis and object tracking (in 2D and 3D with trakmate and/or MaMut).
- Good practices to report measures and perform repeatable analysis, as well as tips and tricks for bio image analysis.
The number of participants is limited to 12. Preference is given to DIPP PhD students
We will inform you after 31 January 2018 whether a slot in the course could be assigned to you!