Inhalt

[ 405DKMTMASP25 ] PR Morphometrical Analysis of 3-Dimensional Structures

Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS R - Doctoral programme Human Medicine Maren Engelhardt 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)Zulassung zum Doktoratsstudium Medical Sciences, Naturwissenschaften bzw. Technischen Wissenschaften
Original study plan Doctoral programme Medical Sciences 2025W
Learning Outcomes
Competences
The students gain fundamental understanding of the principles and pitfalls of image analysis with a focus on 3-dimensional structures (cells and their domains and compartments). Students will use their own generated data for a hands-on approach to data analysis and will learn how to perform image reconstruction and analysis using state-of-the-art software, including simple seöf-written Python scripts.
Skills Knowledge
  • Troubleshooting challenges in data reconstruction and analysis.
  • Applying various software options for image reconstruction and analysis.
  • Interpretation of imaging data and data processing.
  • Principles and applications of image reconstruction software.
  • Fundamentals of image analysis.
  • Statistical evaluation of image data.
Criteria for evaluation Attendance of at least 75 %. Active participation: Students will use their own imaging data to develop a reconstruction and analysis pipeline. Results will be presented and discussed in the group.
Methods Practical course, lectures and discussions.
Language English
Changing subject? No
On-site course
Maximum number of participants 10
Assignment procedure Direct assignment