BIO-410 / 4 credits

Teacher(s): Sage Daniel, Seitz Arne

Language: English

Withdrawal: It is not allowed to withdraw from this subject after the registration deadline.


Summary

The course provides a comprehensive overview of methods, algorithms, and computer tools used in in computational bioimaging and bioimage analysis. It exposes the fundamental concepts and the practical computer solutions to extract quantitative information from multidimensional images.

Content

Keywords

Bioimage, microscopy, image processing, image reconstruction, image analysis, visualization, multidimensional data analysis, learning

 

Learning Prerequisites

Important concepts to start the course

  • Basic knowledge in signal or image processing
  • Baisc knowledge in programming

 

Learning Outcomes

By the end of the course, the student must be able to:

  • Identify quality of images in life science and expectation of the analysis
  • Define the fundamental concepts of the computational bioimaging methods
  • Select appropriately and compare methods and tools for common bioimage analysis tasks
  • Design implements and experiment algorithms to solve specific tasks
  • Develop a workflow for customized application
  • Assess / Evaluate strategies for image-based experiments in life science

Transversal skills

  • Demonstrate the capacity for critical thinking
  • Use a work methodology appropriate to the task.
  • Use both general and domain specific IT resources and tools

Teaching methods

Lecturing with demonstration, workshops, computer laboratories, hands-on

 

 

Assessment methods

Continuous: mid-term and end-term exams and a mini-project

 

In the programs

  • Semester: Spring
  • Number of places: 30
  • Exam form: During the semester (summer session)
  • Subject examined: Bioimage informatics
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Number of places: 30
  • Exam form: During the semester (summer session)
  • Subject examined: Bioimage informatics
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Number of places: 30
  • Exam form: During the semester (summer session)
  • Subject examined: Bioimage informatics
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Number of places: 30
  • Exam form: During the semester (summer session)
  • Subject examined: Bioimage informatics
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Number of places: 30
  • Exam form: During the semester (summer session)
  • Subject examined: Bioimage informatics
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Number of places: 30
  • Exam form: During the semester (summer session)
  • Subject examined: Bioimage informatics
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Number of places: 30
  • Exam form: During the semester (summer session)
  • Subject examined: Bioimage informatics
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Number of places: 30
  • Exam form: During the semester (summer session)
  • Subject examined: Bioimage informatics
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Number of places: 30
  • Exam form: During the semester (summer session)
  • Subject examined: Bioimage informatics
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22