Image Processing for Life Science
BIO-695 / 2 credits
Teacher(s): Burri Olivier, Chiaruttini Nicolas René, Guiet Romain, Seitz Arne
Language: English
Remark: This course is open to max. 16 students. To register, contact EDMS program administrator.
Frequency
Every year
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.
Content
The course consists of two parts. The first one covers the basics of image processing and image analysis. It will be offered as a MOOC (self-paced, to be completed by October 21, 2025).
The second part, which covers more advanced image analysis topics and workflow assembly, will take place every Tuesday from October 28, 2025, to December 16, 2025, once a week from 1:15 to 3:30 p.m. The deadline for applying is 8th September 2025 at 17:00.
Before applying, please make sure you're available at that time. Regular attendance is expected and required to obtain the credits. Being familiar with the content of the MOOC is another prerequisite.
To apply, please fill out the form using the link below. Make sure to log in with your EPFL Google account, and please remember to briefly outline why the course is relevant to your research project.
Over the last decades, the images arising from microscopes in Life Sciences went from being a qualitative support of scientific evidence to a quantitative resource.
To obtain good quality data from digital images, be it from a photograph of a Western blot, a TEM slice or a multi-channel confocal time-lapse stack, scientists must understand the underlying processes leading to the extracted information. Of similar importance is the software used to obtain the data.
Note
Please do not register by yourself to this course, this will be done by the EDMS program administrator once you'll be selected by the course organizer (upon motivation letter)!
Keywords
Biology, Image Processing, Microscopy, ImageJ, FIJI, Macros, Data, Segmentation,
Filtering Visualisation Open so
Assessment methods
Continuous
Multiple
In the programs
- Number of places: 16
- Exam form: Written & Oral (session free)
- Subject examined: Image Processing for Life Science
- Courses: 14 Hour(s)
- Exercises: 28 Hour(s)
- Type: optional
- Number of places: 16
- Exam form: Written & Oral (session free)
- Subject examined: Image Processing for Life Science
- Courses: 14 Hour(s)
- Exercises: 28 Hour(s)
- Type: optional